zhangchenxu commited on
Commit
c9bd9ac
·
verified ·
1 Parent(s): 452ec1c

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,95 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 5120,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 27648,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention",
51
+ "full_attention",
52
+ "full_attention",
53
+ "full_attention",
54
+ "full_attention",
55
+ "full_attention",
56
+ "full_attention",
57
+ "full_attention",
58
+ "full_attention",
59
+ "full_attention",
60
+ "full_attention",
61
+ "full_attention",
62
+ "full_attention",
63
+ "full_attention",
64
+ "full_attention",
65
+ "full_attention",
66
+ "full_attention",
67
+ "full_attention",
68
+ "full_attention",
69
+ "full_attention",
70
+ "full_attention",
71
+ "full_attention",
72
+ "full_attention",
73
+ "full_attention",
74
+ "full_attention",
75
+ "full_attention",
76
+ "full_attention"
77
+ ],
78
+ "max_position_embeddings": 32768,
79
+ "max_window_layers": 70,
80
+ "model_type": "qwen2",
81
+ "num_attention_heads": 40,
82
+ "num_hidden_layers": 64,
83
+ "num_key_value_heads": 8,
84
+ "pad_token_id": 151643,
85
+ "rms_norm_eps": 1e-06,
86
+ "rope_scaling": null,
87
+ "rope_theta": 1000000.0,
88
+ "sliding_window": null,
89
+ "tie_word_embeddings": false,
90
+ "torch_dtype": "bfloat16",
91
+ "transformers_version": "4.55.2",
92
+ "use_cache": false,
93
+ "use_sliding_window": false,
94
+ "vocab_size": 152064
95
+ }
generation_config.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 151643,
3
+ "do_sample": true,
4
+ "eos_token_id": [
5
+ 151645,
6
+ 151643
7
+ ],
8
+ "pad_token_id": 151643,
9
+ "repetition_penalty": 1.05,
10
+ "temperature": 0.7,
11
+ "top_k": 20,
12
+ "top_p": 0.8,
13
+ "transformers_version": "4.55.2"
14
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ce9c81d334367051d73abbe8c3d15462095987bd878bbbfc61ea47839280259
3
+ size 4891730992
model-00002-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c18ad722284b2a190ede1316b35ba9fabfe0b3b0490f9ef22afa2f683d97558
3
+ size 4876059352
model-00003-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ab9f910a6fdb1b4f99e0c4b91e6a58cbb1e7fb29629fc0e1aea97b0cfaa31e2
3
+ size 4876059384
model-00004-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c29290a539218f4798643a2589b6b52e4bed2275f293b432c221929ac43f1577
3
+ size 4876059416
model-00005-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c7feb6470dc695f946428ee6b6fb493e5150a274e7f3cbdce5c898375d8892da
3
+ size 4876059416
model-00006-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5deac5c99e357185081682f0b8220361c077635812d97f4ef71d4175d4413af
3
+ size 4876059416
model-00007-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:176b1c87f3a8f5ae4573b8fe91c47891bca78d63af3d89672ea9ffdf8bf62c08
3
+ size 4876059416
model-00008-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:db5d2b3eb920dd807bc9ae0b662fa03248b1f1c046546dbc9dbc1af7210353c7
3
+ size 4876059416
model-00009-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:347767a167e7209f60d203f35f5dc07e4363cd6830aa2b75b1c92fae29beb670
3
+ size 4876059416
model-00010-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c87c1f67e86d0cd8d6079fe4e0e1873c7acafb4c2610dc1ecf4716222aab70b9
3
+ size 4876059416
model-00011-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c5f73524c35c48b0e24df922e2829fb84a34b0e9387aea66535450e843e94504
3
+ size 4876059416
model-00012-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bed1ad0ab97462ae26ef8f94dc053f1f1af04ae6cd4111ad1cb9e8bbb5fb2633
3
+ size 4876059416
model-00013-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5b7a5189f37f6525247bc0b747632e1dcb27f63fcc4f96e4da6f6d01e3fc896d
3
+ size 4876059416
model-00014-of-00014.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:87023db7da8173b2cb522e42c60e3a83e1b5c964ced0fb866df81e0fb4e9d8d3
3
+ size 2123397800
model.safetensors.index.json ADDED
@@ -0,0 +1,779 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 1119232,
4
+ "total_size": 65527752704
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00014-of-00014.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00014.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00014.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00014.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00014.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00014.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00003-of-00014.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00014.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00014.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00014.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00014.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00004-of-00014.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00004-of-00014.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00004-of-00014.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00014.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00014.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00014.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00004-of-00014.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00014.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00014.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00004-of-00014.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00014.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00004-of-00014.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00014.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00014.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00014.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00014.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00014.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00014.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00014.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00005-of-00014.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00005-of-00014.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00005-of-00014.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00005-of-00014.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00014.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00006-of-00014.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00014.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00005-of-00014.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00014.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00014.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00005-of-00014.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00014.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00005-of-00014.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00014.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00014.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00014.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00006-of-00014.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00006-of-00014.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00006-of-00014.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00006-of-00014.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00014.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00007-of-00014.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00014.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00006-of-00014.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00014.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00014.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00006-of-00014.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00014.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00006-of-00014.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00014.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00007-of-00014.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00014.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00014.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00014.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00014.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00014.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00014.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00014.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00014.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00014.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00007-of-00014.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00007-of-00014.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00007-of-00014.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00007-of-00014.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00007-of-00014.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00007-of-00014.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00008-of-00014.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00007-of-00014.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00007-of-00014.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00007-of-00014.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00007-of-00014.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00007-of-00014.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00007-of-00014.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00007-of-00014.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00007-of-00014.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00008-of-00014.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00008-of-00014.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
369
+ "model.layers.36.input_layernorm.weight": "model-00008-of-00014.safetensors",
370
+ "model.layers.36.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
371
+ "model.layers.36.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
372
+ "model.layers.36.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
373
+ "model.layers.36.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
374
+ "model.layers.36.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
375
+ "model.layers.36.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
376
+ "model.layers.36.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
377
+ "model.layers.36.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
378
+ "model.layers.36.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
379
+ "model.layers.36.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
380
+ "model.layers.36.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
381
+ "model.layers.37.input_layernorm.weight": "model-00008-of-00014.safetensors",
382
+ "model.layers.37.mlp.down_proj.weight": "model-00008-of-00014.safetensors",
383
+ "model.layers.37.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
384
+ "model.layers.37.mlp.up_proj.weight": "model-00008-of-00014.safetensors",
385
+ "model.layers.37.post_attention_layernorm.weight": "model-00008-of-00014.safetensors",
386
+ "model.layers.37.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
387
+ "model.layers.37.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
388
+ "model.layers.37.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
389
+ "model.layers.37.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
390
+ "model.layers.37.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
391
+ "model.layers.37.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
392
+ "model.layers.37.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
393
+ "model.layers.38.input_layernorm.weight": "model-00009-of-00014.safetensors",
394
+ "model.layers.38.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
395
+ "model.layers.38.mlp.gate_proj.weight": "model-00008-of-00014.safetensors",
396
+ "model.layers.38.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
397
+ "model.layers.38.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
398
+ "model.layers.38.self_attn.k_proj.bias": "model-00008-of-00014.safetensors",
399
+ "model.layers.38.self_attn.k_proj.weight": "model-00008-of-00014.safetensors",
400
+ "model.layers.38.self_attn.o_proj.weight": "model-00008-of-00014.safetensors",
401
+ "model.layers.38.self_attn.q_proj.bias": "model-00008-of-00014.safetensors",
402
+ "model.layers.38.self_attn.q_proj.weight": "model-00008-of-00014.safetensors",
403
+ "model.layers.38.self_attn.v_proj.bias": "model-00008-of-00014.safetensors",
404
+ "model.layers.38.self_attn.v_proj.weight": "model-00008-of-00014.safetensors",
405
+ "model.layers.39.input_layernorm.weight": "model-00009-of-00014.safetensors",
406
+ "model.layers.39.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
407
+ "model.layers.39.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
408
+ "model.layers.39.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
409
+ "model.layers.39.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
410
+ "model.layers.39.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
411
+ "model.layers.39.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
412
+ "model.layers.39.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
413
+ "model.layers.39.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
414
+ "model.layers.39.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
415
+ "model.layers.39.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
416
+ "model.layers.39.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
417
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00014.safetensors",
418
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
419
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
420
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
421
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
422
+ "model.layers.4.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
423
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
424
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
425
+ "model.layers.4.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
426
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
427
+ "model.layers.4.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
428
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
429
+ "model.layers.40.input_layernorm.weight": "model-00009-of-00014.safetensors",
430
+ "model.layers.40.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
431
+ "model.layers.40.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
432
+ "model.layers.40.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
433
+ "model.layers.40.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
434
+ "model.layers.40.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
435
+ "model.layers.40.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
436
+ "model.layers.40.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
437
+ "model.layers.40.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
438
+ "model.layers.40.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
439
+ "model.layers.40.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
440
+ "model.layers.40.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
441
+ "model.layers.41.input_layernorm.weight": "model-00009-of-00014.safetensors",
442
+ "model.layers.41.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
443
+ "model.layers.41.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
444
+ "model.layers.41.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
445
+ "model.layers.41.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
446
+ "model.layers.41.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
447
+ "model.layers.41.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
448
+ "model.layers.41.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
449
+ "model.layers.41.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
450
+ "model.layers.41.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
451
+ "model.layers.41.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
452
+ "model.layers.41.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
453
+ "model.layers.42.input_layernorm.weight": "model-00009-of-00014.safetensors",
454
+ "model.layers.42.mlp.down_proj.weight": "model-00009-of-00014.safetensors",
455
+ "model.layers.42.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
456
+ "model.layers.42.mlp.up_proj.weight": "model-00009-of-00014.safetensors",
457
+ "model.layers.42.post_attention_layernorm.weight": "model-00009-of-00014.safetensors",
458
+ "model.layers.42.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
459
+ "model.layers.42.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
460
+ "model.layers.42.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
461
+ "model.layers.42.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
462
+ "model.layers.42.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
463
+ "model.layers.42.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
464
+ "model.layers.42.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
465
+ "model.layers.43.input_layernorm.weight": "model-00010-of-00014.safetensors",
466
+ "model.layers.43.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
467
+ "model.layers.43.mlp.gate_proj.weight": "model-00009-of-00014.safetensors",
468
+ "model.layers.43.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
469
+ "model.layers.43.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
470
+ "model.layers.43.self_attn.k_proj.bias": "model-00009-of-00014.safetensors",
471
+ "model.layers.43.self_attn.k_proj.weight": "model-00009-of-00014.safetensors",
472
+ "model.layers.43.self_attn.o_proj.weight": "model-00009-of-00014.safetensors",
473
+ "model.layers.43.self_attn.q_proj.bias": "model-00009-of-00014.safetensors",
474
+ "model.layers.43.self_attn.q_proj.weight": "model-00009-of-00014.safetensors",
475
+ "model.layers.43.self_attn.v_proj.bias": "model-00009-of-00014.safetensors",
476
+ "model.layers.43.self_attn.v_proj.weight": "model-00009-of-00014.safetensors",
477
+ "model.layers.44.input_layernorm.weight": "model-00010-of-00014.safetensors",
478
+ "model.layers.44.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
479
+ "model.layers.44.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
480
+ "model.layers.44.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
481
+ "model.layers.44.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
482
+ "model.layers.44.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
483
+ "model.layers.44.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
484
+ "model.layers.44.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
485
+ "model.layers.44.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
486
+ "model.layers.44.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
487
+ "model.layers.44.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
488
+ "model.layers.44.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
489
+ "model.layers.45.input_layernorm.weight": "model-00010-of-00014.safetensors",
490
+ "model.layers.45.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
491
+ "model.layers.45.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
492
+ "model.layers.45.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
493
+ "model.layers.45.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
494
+ "model.layers.45.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
495
+ "model.layers.45.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
496
+ "model.layers.45.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
497
+ "model.layers.45.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
498
+ "model.layers.45.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
499
+ "model.layers.45.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
500
+ "model.layers.45.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
501
+ "model.layers.46.input_layernorm.weight": "model-00010-of-00014.safetensors",
502
+ "model.layers.46.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
503
+ "model.layers.46.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
504
+ "model.layers.46.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
505
+ "model.layers.46.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
506
+ "model.layers.46.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
507
+ "model.layers.46.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
508
+ "model.layers.46.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
509
+ "model.layers.46.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
510
+ "model.layers.46.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
511
+ "model.layers.46.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
512
+ "model.layers.46.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
513
+ "model.layers.47.input_layernorm.weight": "model-00010-of-00014.safetensors",
514
+ "model.layers.47.mlp.down_proj.weight": "model-00010-of-00014.safetensors",
515
+ "model.layers.47.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
516
+ "model.layers.47.mlp.up_proj.weight": "model-00010-of-00014.safetensors",
517
+ "model.layers.47.post_attention_layernorm.weight": "model-00010-of-00014.safetensors",
518
+ "model.layers.47.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
519
+ "model.layers.47.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
520
+ "model.layers.47.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
521
+ "model.layers.47.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
522
+ "model.layers.47.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
523
+ "model.layers.47.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
524
+ "model.layers.47.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
525
+ "model.layers.48.input_layernorm.weight": "model-00011-of-00014.safetensors",
526
+ "model.layers.48.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
527
+ "model.layers.48.mlp.gate_proj.weight": "model-00010-of-00014.safetensors",
528
+ "model.layers.48.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
529
+ "model.layers.48.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
530
+ "model.layers.48.self_attn.k_proj.bias": "model-00010-of-00014.safetensors",
531
+ "model.layers.48.self_attn.k_proj.weight": "model-00010-of-00014.safetensors",
532
+ "model.layers.48.self_attn.o_proj.weight": "model-00010-of-00014.safetensors",
533
+ "model.layers.48.self_attn.q_proj.bias": "model-00010-of-00014.safetensors",
534
+ "model.layers.48.self_attn.q_proj.weight": "model-00010-of-00014.safetensors",
535
+ "model.layers.48.self_attn.v_proj.bias": "model-00010-of-00014.safetensors",
536
+ "model.layers.48.self_attn.v_proj.weight": "model-00010-of-00014.safetensors",
537
+ "model.layers.49.input_layernorm.weight": "model-00011-of-00014.safetensors",
538
+ "model.layers.49.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
539
+ "model.layers.49.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
540
+ "model.layers.49.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
541
+ "model.layers.49.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
542
+ "model.layers.49.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
543
+ "model.layers.49.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
544
+ "model.layers.49.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
545
+ "model.layers.49.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
546
+ "model.layers.49.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
547
+ "model.layers.49.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
548
+ "model.layers.49.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
549
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00014.safetensors",
550
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
551
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
552
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
553
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
554
+ "model.layers.5.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
555
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
556
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
557
+ "model.layers.5.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
558
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
559
+ "model.layers.5.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
560
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
561
+ "model.layers.50.input_layernorm.weight": "model-00011-of-00014.safetensors",
562
+ "model.layers.50.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
563
+ "model.layers.50.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
564
+ "model.layers.50.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
565
+ "model.layers.50.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
566
+ "model.layers.50.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
567
+ "model.layers.50.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
568
+ "model.layers.50.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
569
+ "model.layers.50.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
570
+ "model.layers.50.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
571
+ "model.layers.50.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
572
+ "model.layers.50.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
573
+ "model.layers.51.input_layernorm.weight": "model-00011-of-00014.safetensors",
574
+ "model.layers.51.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
575
+ "model.layers.51.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
576
+ "model.layers.51.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
577
+ "model.layers.51.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
578
+ "model.layers.51.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
579
+ "model.layers.51.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
580
+ "model.layers.51.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
581
+ "model.layers.51.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
582
+ "model.layers.51.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
583
+ "model.layers.51.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
584
+ "model.layers.51.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
585
+ "model.layers.52.input_layernorm.weight": "model-00011-of-00014.safetensors",
586
+ "model.layers.52.mlp.down_proj.weight": "model-00011-of-00014.safetensors",
587
+ "model.layers.52.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
588
+ "model.layers.52.mlp.up_proj.weight": "model-00011-of-00014.safetensors",
589
+ "model.layers.52.post_attention_layernorm.weight": "model-00011-of-00014.safetensors",
590
+ "model.layers.52.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
591
+ "model.layers.52.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
592
+ "model.layers.52.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
593
+ "model.layers.52.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
594
+ "model.layers.52.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
595
+ "model.layers.52.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
596
+ "model.layers.52.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
597
+ "model.layers.53.input_layernorm.weight": "model-00012-of-00014.safetensors",
598
+ "model.layers.53.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
599
+ "model.layers.53.mlp.gate_proj.weight": "model-00011-of-00014.safetensors",
600
+ "model.layers.53.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
601
+ "model.layers.53.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
602
+ "model.layers.53.self_attn.k_proj.bias": "model-00011-of-00014.safetensors",
603
+ "model.layers.53.self_attn.k_proj.weight": "model-00011-of-00014.safetensors",
604
+ "model.layers.53.self_attn.o_proj.weight": "model-00011-of-00014.safetensors",
605
+ "model.layers.53.self_attn.q_proj.bias": "model-00011-of-00014.safetensors",
606
+ "model.layers.53.self_attn.q_proj.weight": "model-00011-of-00014.safetensors",
607
+ "model.layers.53.self_attn.v_proj.bias": "model-00011-of-00014.safetensors",
608
+ "model.layers.53.self_attn.v_proj.weight": "model-00011-of-00014.safetensors",
609
+ "model.layers.54.input_layernorm.weight": "model-00012-of-00014.safetensors",
610
+ "model.layers.54.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
611
+ "model.layers.54.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
612
+ "model.layers.54.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
613
+ "model.layers.54.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
614
+ "model.layers.54.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
615
+ "model.layers.54.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
616
+ "model.layers.54.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
617
+ "model.layers.54.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
618
+ "model.layers.54.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
619
+ "model.layers.54.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
620
+ "model.layers.54.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
621
+ "model.layers.55.input_layernorm.weight": "model-00012-of-00014.safetensors",
622
+ "model.layers.55.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
623
+ "model.layers.55.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
624
+ "model.layers.55.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
625
+ "model.layers.55.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
626
+ "model.layers.55.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
627
+ "model.layers.55.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
628
+ "model.layers.55.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
629
+ "model.layers.55.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
630
+ "model.layers.55.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
631
+ "model.layers.55.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
632
+ "model.layers.55.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
633
+ "model.layers.56.input_layernorm.weight": "model-00012-of-00014.safetensors",
634
+ "model.layers.56.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
635
+ "model.layers.56.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
636
+ "model.layers.56.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
637
+ "model.layers.56.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
638
+ "model.layers.56.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
639
+ "model.layers.56.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
640
+ "model.layers.56.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
641
+ "model.layers.56.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
642
+ "model.layers.56.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
643
+ "model.layers.56.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
644
+ "model.layers.56.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
645
+ "model.layers.57.input_layernorm.weight": "model-00012-of-00014.safetensors",
646
+ "model.layers.57.mlp.down_proj.weight": "model-00012-of-00014.safetensors",
647
+ "model.layers.57.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
648
+ "model.layers.57.mlp.up_proj.weight": "model-00012-of-00014.safetensors",
649
+ "model.layers.57.post_attention_layernorm.weight": "model-00012-of-00014.safetensors",
650
+ "model.layers.57.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
651
+ "model.layers.57.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
652
+ "model.layers.57.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
653
+ "model.layers.57.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
654
+ "model.layers.57.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
655
+ "model.layers.57.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
656
+ "model.layers.57.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
657
+ "model.layers.58.input_layernorm.weight": "model-00013-of-00014.safetensors",
658
+ "model.layers.58.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
659
+ "model.layers.58.mlp.gate_proj.weight": "model-00012-of-00014.safetensors",
660
+ "model.layers.58.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
661
+ "model.layers.58.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
662
+ "model.layers.58.self_attn.k_proj.bias": "model-00012-of-00014.safetensors",
663
+ "model.layers.58.self_attn.k_proj.weight": "model-00012-of-00014.safetensors",
664
+ "model.layers.58.self_attn.o_proj.weight": "model-00012-of-00014.safetensors",
665
+ "model.layers.58.self_attn.q_proj.bias": "model-00012-of-00014.safetensors",
666
+ "model.layers.58.self_attn.q_proj.weight": "model-00012-of-00014.safetensors",
667
+ "model.layers.58.self_attn.v_proj.bias": "model-00012-of-00014.safetensors",
668
+ "model.layers.58.self_attn.v_proj.weight": "model-00012-of-00014.safetensors",
669
+ "model.layers.59.input_layernorm.weight": "model-00013-of-00014.safetensors",
670
+ "model.layers.59.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
671
+ "model.layers.59.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
672
+ "model.layers.59.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
673
+ "model.layers.59.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
674
+ "model.layers.59.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
675
+ "model.layers.59.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
676
+ "model.layers.59.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
677
+ "model.layers.59.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
678
+ "model.layers.59.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
679
+ "model.layers.59.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
680
+ "model.layers.59.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
681
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00014.safetensors",
682
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
683
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
684
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
685
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
686
+ "model.layers.6.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
687
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
688
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
689
+ "model.layers.6.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
690
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
691
+ "model.layers.6.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
692
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
693
+ "model.layers.60.input_layernorm.weight": "model-00013-of-00014.safetensors",
694
+ "model.layers.60.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
695
+ "model.layers.60.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
696
+ "model.layers.60.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
697
+ "model.layers.60.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
698
+ "model.layers.60.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
699
+ "model.layers.60.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
700
+ "model.layers.60.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
701
+ "model.layers.60.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
702
+ "model.layers.60.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
703
+ "model.layers.60.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
704
+ "model.layers.60.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
705
+ "model.layers.61.input_layernorm.weight": "model-00013-of-00014.safetensors",
706
+ "model.layers.61.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
707
+ "model.layers.61.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
708
+ "model.layers.61.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
709
+ "model.layers.61.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
710
+ "model.layers.61.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
711
+ "model.layers.61.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
712
+ "model.layers.61.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
713
+ "model.layers.61.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
714
+ "model.layers.61.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
715
+ "model.layers.61.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
716
+ "model.layers.61.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
717
+ "model.layers.62.input_layernorm.weight": "model-00013-of-00014.safetensors",
718
+ "model.layers.62.mlp.down_proj.weight": "model-00013-of-00014.safetensors",
719
+ "model.layers.62.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
720
+ "model.layers.62.mlp.up_proj.weight": "model-00013-of-00014.safetensors",
721
+ "model.layers.62.post_attention_layernorm.weight": "model-00013-of-00014.safetensors",
722
+ "model.layers.62.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
723
+ "model.layers.62.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
724
+ "model.layers.62.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
725
+ "model.layers.62.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
726
+ "model.layers.62.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
727
+ "model.layers.62.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
728
+ "model.layers.62.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
729
+ "model.layers.63.input_layernorm.weight": "model-00014-of-00014.safetensors",
730
+ "model.layers.63.mlp.down_proj.weight": "model-00014-of-00014.safetensors",
731
+ "model.layers.63.mlp.gate_proj.weight": "model-00013-of-00014.safetensors",
732
+ "model.layers.63.mlp.up_proj.weight": "model-00014-of-00014.safetensors",
733
+ "model.layers.63.post_attention_layernorm.weight": "model-00014-of-00014.safetensors",
734
+ "model.layers.63.self_attn.k_proj.bias": "model-00013-of-00014.safetensors",
735
+ "model.layers.63.self_attn.k_proj.weight": "model-00013-of-00014.safetensors",
736
+ "model.layers.63.self_attn.o_proj.weight": "model-00013-of-00014.safetensors",
737
+ "model.layers.63.self_attn.q_proj.bias": "model-00013-of-00014.safetensors",
738
+ "model.layers.63.self_attn.q_proj.weight": "model-00013-of-00014.safetensors",
739
+ "model.layers.63.self_attn.v_proj.bias": "model-00013-of-00014.safetensors",
740
+ "model.layers.63.self_attn.v_proj.weight": "model-00013-of-00014.safetensors",
741
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00014.safetensors",
742
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00014.safetensors",
743
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
744
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00014.safetensors",
745
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00014.safetensors",
746
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
747
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
748
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
749
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
750
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
751
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
752
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
753
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00014.safetensors",
754
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
755
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00014.safetensors",
756
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
757
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
758
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00014.safetensors",
759
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00014.safetensors",
760
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00014.safetensors",
761
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00014.safetensors",
762
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00014.safetensors",
763
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00014.safetensors",
764
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00014.safetensors",
765
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00014.safetensors",
766
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00014.safetensors",
767
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00014.safetensors",
768
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00014.safetensors",
769
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00014.safetensors",
770
+ "model.layers.9.self_attn.k_proj.bias": "model-00003-of-00014.safetensors",
771
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00014.safetensors",
772
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00014.safetensors",
773
+ "model.layers.9.self_attn.q_proj.bias": "model-00003-of-00014.safetensors",
774
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00014.safetensors",
775
+ "model.layers.9.self_attn.v_proj.bias": "model-00003-of-00014.safetensors",
776
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00014.safetensors",
777
+ "model.norm.weight": "model-00014-of-00014.safetensors"
778
+ }
779
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,207 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 131072,
203
+ "pad_token": "<|endoftext|>",
204
+ "split_special_tokens": false,
205
+ "tokenizer_class": "Qwen2Tokenizer",
206
+ "unk_token": null
207
+ }
trainer_state.json ADDED
@@ -0,0 +1,943 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": 192,
3
+ "best_metric": 0.70005822,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 16,
7
+ "global_step": 380,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.005263157894736842,
14
+ "grad_norm": 9.152583101647197,
15
+ "learning_rate": 1.9999658256641746e-05,
16
+ "loss": 1.3120107650756836,
17
+ "memory(GiB)": 57.01,
18
+ "step": 1,
19
+ "train_speed(iter/s)": 0.036088
20
+ },
21
+ {
22
+ "epoch": 0.02631578947368421,
23
+ "grad_norm": 2.1260795018452656,
24
+ "learning_rate": 1.999145758387301e-05,
25
+ "loss": 0.9991766810417175,
26
+ "memory(GiB)": 57.01,
27
+ "step": 5,
28
+ "train_speed(iter/s)": 0.048355
29
+ },
30
+ {
31
+ "epoch": 0.05263157894736842,
32
+ "grad_norm": 0.7836553551546025,
33
+ "learning_rate": 1.99658449300667e-05,
34
+ "loss": 0.9186409950256348,
35
+ "memory(GiB)": 57.01,
36
+ "step": 10,
37
+ "train_speed(iter/s)": 0.049883
38
+ },
39
+ {
40
+ "epoch": 0.07894736842105263,
41
+ "grad_norm": 0.6412562781618624,
42
+ "learning_rate": 1.992320579737045e-05,
43
+ "loss": 0.8510271072387695,
44
+ "memory(GiB)": 57.01,
45
+ "step": 15,
46
+ "train_speed(iter/s)": 0.051154
47
+ },
48
+ {
49
+ "epoch": 0.08421052631578947,
50
+ "eval_loss": 0.7916765213012695,
51
+ "eval_runtime": 9.8416,
52
+ "eval_samples_per_second": 6.401,
53
+ "eval_steps_per_second": 0.203,
54
+ "eval_token_acc": 0.7726357334653692,
55
+ "step": 16
56
+ },
57
+ {
58
+ "epoch": 0.10526315789473684,
59
+ "grad_norm": 0.49696683676371833,
60
+ "learning_rate": 1.9863613034027224e-05,
61
+ "loss": 0.8826911926269532,
62
+ "memory(GiB)": 69.3,
63
+ "step": 20,
64
+ "train_speed(iter/s)": 0.050284
65
+ },
66
+ {
67
+ "epoch": 0.13157894736842105,
68
+ "grad_norm": 0.5207448076725332,
69
+ "learning_rate": 1.9787168453273546e-05,
70
+ "loss": 0.831389045715332,
71
+ "memory(GiB)": 69.3,
72
+ "step": 25,
73
+ "train_speed(iter/s)": 0.050966
74
+ },
75
+ {
76
+ "epoch": 0.15789473684210525,
77
+ "grad_norm": 0.5062200984947397,
78
+ "learning_rate": 1.9694002659393306e-05,
79
+ "loss": 0.8272812843322754,
80
+ "memory(GiB)": 69.3,
81
+ "step": 30,
82
+ "train_speed(iter/s)": 0.051443
83
+ },
84
+ {
85
+ "epoch": 0.16842105263157894,
86
+ "eval_loss": 0.7559030652046204,
87
+ "eval_runtime": 9.8411,
88
+ "eval_samples_per_second": 6.402,
89
+ "eval_steps_per_second": 0.203,
90
+ "eval_token_acc": 0.7801532059949344,
91
+ "step": 32
92
+ },
93
+ {
94
+ "epoch": 0.18421052631578946,
95
+ "grad_norm": 0.4939312053721415,
96
+ "learning_rate": 1.958427482458253e-05,
97
+ "loss": 0.8164405822753906,
98
+ "memory(GiB)": 69.37,
99
+ "step": 35,
100
+ "train_speed(iter/s)": 0.051059
101
+ },
102
+ {
103
+ "epoch": 0.21052631578947367,
104
+ "grad_norm": 0.7658040629902148,
105
+ "learning_rate": 1.9458172417006347e-05,
106
+ "loss": 0.8088149070739746,
107
+ "memory(GiB)": 69.37,
108
+ "step": 40,
109
+ "train_speed(iter/s)": 0.051441
110
+ },
111
+ {
112
+ "epoch": 0.23684210526315788,
113
+ "grad_norm": 0.4138057058676066,
114
+ "learning_rate": 1.9315910880512792e-05,
115
+ "loss": 0.7972204208374023,
116
+ "memory(GiB)": 69.37,
117
+ "step": 45,
118
+ "train_speed(iter/s)": 0.051684
119
+ },
120
+ {
121
+ "epoch": 0.25263157894736843,
122
+ "eval_loss": 0.7412319183349609,
123
+ "eval_runtime": 9.8493,
124
+ "eval_samples_per_second": 6.396,
125
+ "eval_steps_per_second": 0.203,
126
+ "eval_token_acc": 0.7837714954961817,
127
+ "step": 48
128
+ },
129
+ {
130
+ "epoch": 0.2631578947368421,
131
+ "grad_norm": 0.40921663738924585,
132
+ "learning_rate": 1.9157733266550577e-05,
133
+ "loss": 0.8212543487548828,
134
+ "memory(GiB)": 69.37,
135
+ "step": 50,
136
+ "train_speed(iter/s)": 0.051332
137
+ },
138
+ {
139
+ "epoch": 0.2894736842105263,
140
+ "grad_norm": 0.42411505277750844,
141
+ "learning_rate": 1.898390981891979e-05,
142
+ "loss": 0.820932674407959,
143
+ "memory(GiB)": 69.37,
144
+ "step": 55,
145
+ "train_speed(iter/s)": 0.051591
146
+ },
147
+ {
148
+ "epoch": 0.3157894736842105,
149
+ "grad_norm": 0.4372810679248111,
150
+ "learning_rate": 1.879473751206489e-05,
151
+ "loss": 0.7952181816101074,
152
+ "memory(GiB)": 69.37,
153
+ "step": 60,
154
+ "train_speed(iter/s)": 0.051797
155
+ },
156
+ {
157
+ "epoch": 0.3368421052631579,
158
+ "eval_loss": 0.7309797406196594,
159
+ "eval_runtime": 9.8337,
160
+ "eval_samples_per_second": 6.407,
161
+ "eval_steps_per_second": 0.203,
162
+ "eval_token_acc": 0.7857353697320562,
163
+ "step": 64
164
+ },
165
+ {
166
+ "epoch": 0.34210526315789475,
167
+ "grad_norm": 0.4228185459938873,
168
+ "learning_rate": 1.8590539543698852e-05,
169
+ "loss": 0.8058796882629394,
170
+ "memory(GiB)": 69.37,
171
+ "step": 65,
172
+ "train_speed(iter/s)": 0.051508
173
+ },
174
+ {
175
+ "epoch": 0.3684210526315789,
176
+ "grad_norm": 0.42601403175611896,
177
+ "learning_rate": 1.8371664782625287e-05,
178
+ "loss": 0.794715690612793,
179
+ "memory(GiB)": 69.37,
180
+ "step": 70,
181
+ "train_speed(iter/s)": 0.051591
182
+ },
183
+ {
184
+ "epoch": 0.39473684210526316,
185
+ "grad_norm": 0.4262322625536522,
186
+ "learning_rate": 1.813848717270195e-05,
187
+ "loss": 0.7831051349639893,
188
+ "memory(GiB)": 69.37,
189
+ "step": 75,
190
+ "train_speed(iter/s)": 0.051639
191
+ },
192
+ {
193
+ "epoch": 0.42105263157894735,
194
+ "grad_norm": 0.48084059766704834,
195
+ "learning_rate": 1.789140509396394e-05,
196
+ "loss": 0.77615327835083,
197
+ "memory(GiB)": 69.37,
198
+ "step": 80,
199
+ "train_speed(iter/s)": 0.051759
200
+ },
201
+ {
202
+ "epoch": 0.42105263157894735,
203
+ "eval_loss": 0.7247982621192932,
204
+ "eval_runtime": 9.8915,
205
+ "eval_samples_per_second": 6.369,
206
+ "eval_steps_per_second": 0.202,
207
+ "eval_token_acc": 0.7875040467711527,
208
+ "step": 80
209
+ },
210
+ {
211
+ "epoch": 0.4473684210526316,
212
+ "grad_norm": 0.4217600796086705,
213
+ "learning_rate": 1.7630840681998068e-05,
214
+ "loss": 0.7695322036743164,
215
+ "memory(GiB)": 69.37,
216
+ "step": 85,
217
+ "train_speed(iter/s)": 0.051515
218
+ },
219
+ {
220
+ "epoch": 0.47368421052631576,
221
+ "grad_norm": 0.4445281215969849,
222
+ "learning_rate": 1.735723910673132e-05,
223
+ "loss": 0.7695138454437256,
224
+ "memory(GiB)": 69.37,
225
+ "step": 90,
226
+ "train_speed(iter/s)": 0.051651
227
+ },
228
+ {
229
+ "epoch": 0.5,
230
+ "grad_norm": 0.49202631008863995,
231
+ "learning_rate": 1.7071067811865477e-05,
232
+ "loss": 0.7878283023834228,
233
+ "memory(GiB)": 69.37,
234
+ "step": 95,
235
+ "train_speed(iter/s)": 0.051798
236
+ },
237
+ {
238
+ "epoch": 0.5052631578947369,
239
+ "eval_loss": 0.7192742824554443,
240
+ "eval_runtime": 9.8387,
241
+ "eval_samples_per_second": 6.403,
242
+ "eval_steps_per_second": 0.203,
243
+ "eval_token_acc": 0.7890584829845175,
244
+ "step": 96
245
+ },
246
+ {
247
+ "epoch": 0.5263157894736842,
248
+ "grad_norm": 0.5136302863742109,
249
+ "learning_rate": 1.6772815716257414e-05,
250
+ "loss": 0.8238545417785644,
251
+ "memory(GiB)": 69.37,
252
+ "step": 100,
253
+ "train_speed(iter/s)": 0.051543
254
+ },
255
+ {
256
+ "epoch": 0.5526315789473685,
257
+ "grad_norm": 0.40357521887804787,
258
+ "learning_rate": 1.646299237860941e-05,
259
+ "loss": 0.7880066871643067,
260
+ "memory(GiB)": 69.37,
261
+ "step": 105,
262
+ "train_speed(iter/s)": 0.050576
263
+ },
264
+ {
265
+ "epoch": 0.5789473684210527,
266
+ "grad_norm": 0.42779690136435417,
267
+ "learning_rate": 1.6142127126896682e-05,
268
+ "loss": 0.7965791702270508,
269
+ "memory(GiB)": 69.37,
270
+ "step": 110,
271
+ "train_speed(iter/s)": 0.050695
272
+ },
273
+ {
274
+ "epoch": 0.5894736842105263,
275
+ "eval_loss": 0.7136698961257935,
276
+ "eval_runtime": 9.8339,
277
+ "eval_samples_per_second": 6.406,
278
+ "eval_steps_per_second": 0.203,
279
+ "eval_token_acc": 0.7901154043914609,
280
+ "step": 112
281
+ },
282
+ {
283
+ "epoch": 0.6052631578947368,
284
+ "grad_norm": 0.405474461817072,
285
+ "learning_rate": 1.5810768154019386e-05,
286
+ "loss": 0.7739765167236328,
287
+ "memory(GiB)": 69.68,
288
+ "step": 115,
289
+ "train_speed(iter/s)": 0.050597
290
+ },
291
+ {
292
+ "epoch": 0.631578947368421,
293
+ "grad_norm": 0.44011902270506637,
294
+ "learning_rate": 1.5469481581224274e-05,
295
+ "loss": 0.7681276321411132,
296
+ "memory(GiB)": 69.68,
297
+ "step": 120,
298
+ "train_speed(iter/s)": 0.050764
299
+ },
300
+ {
301
+ "epoch": 0.6578947368421053,
302
+ "grad_norm": 0.40246980138168537,
303
+ "learning_rate": 1.5118850490896012e-05,
304
+ "loss": 0.7708123683929443,
305
+ "memory(GiB)": 69.68,
306
+ "step": 125,
307
+ "train_speed(iter/s)": 0.050868
308
+ },
309
+ {
310
+ "epoch": 0.6736842105263158,
311
+ "eval_loss": 0.7104138135910034,
312
+ "eval_runtime": 9.7939,
313
+ "eval_samples_per_second": 6.433,
314
+ "eval_steps_per_second": 0.204,
315
+ "eval_token_acc": 0.790924758622003,
316
+ "step": 128
317
+ },
318
+ {
319
+ "epoch": 0.6842105263157895,
320
+ "grad_norm": 0.3791182451908356,
321
+ "learning_rate": 1.4759473930370738e-05,
322
+ "loss": 0.7606860160827636,
323
+ "memory(GiB)": 69.68,
324
+ "step": 130,
325
+ "train_speed(iter/s)": 0.05075
326
+ },
327
+ {
328
+ "epoch": 0.7105263157894737,
329
+ "grad_norm": 0.3794671895337737,
330
+ "learning_rate": 1.4391965888473705e-05,
331
+ "loss": 0.7771711349487305,
332
+ "memory(GiB)": 69.68,
333
+ "step": 135,
334
+ "train_speed(iter/s)": 0.050853
335
+ },
336
+ {
337
+ "epoch": 0.7368421052631579,
338
+ "grad_norm": 0.37709314975078,
339
+ "learning_rate": 1.4016954246529697e-05,
340
+ "loss": 0.7493702888488769,
341
+ "memory(GiB)": 69.68,
342
+ "step": 140,
343
+ "train_speed(iter/s)": 0.050943
344
+ },
345
+ {
346
+ "epoch": 0.7578947368421053,
347
+ "eval_loss": 0.706990122795105,
348
+ "eval_runtime": 9.807,
349
+ "eval_samples_per_second": 6.424,
350
+ "eval_steps_per_second": 0.204,
351
+ "eval_token_acc": 0.7914865456761441,
352
+ "step": 144
353
+ },
354
+ {
355
+ "epoch": 0.7631578947368421,
356
+ "grad_norm": 0.39953813706935337,
357
+ "learning_rate": 1.3635079705638298e-05,
358
+ "loss": 0.7736559391021729,
359
+ "memory(GiB)": 69.68,
360
+ "step": 145,
361
+ "train_speed(iter/s)": 0.050829
362
+ },
363
+ {
364
+ "epoch": 0.7894736842105263,
365
+ "grad_norm": 0.3830666041149983,
366
+ "learning_rate": 1.3246994692046837e-05,
367
+ "loss": 0.7789090156555176,
368
+ "memory(GiB)": 69.68,
369
+ "step": 150,
370
+ "train_speed(iter/s)": 0.050937
371
+ },
372
+ {
373
+ "epoch": 0.8157894736842105,
374
+ "grad_norm": 0.421924385981196,
375
+ "learning_rate": 1.2853362242491054e-05,
376
+ "loss": 0.7540519714355469,
377
+ "memory(GiB)": 69.68,
378
+ "step": 155,
379
+ "train_speed(iter/s)": 0.050961
380
+ },
381
+ {
382
+ "epoch": 0.8421052631578947,
383
+ "grad_norm": 0.4181935666985859,
384
+ "learning_rate": 1.2454854871407993e-05,
385
+ "loss": 0.7660489082336426,
386
+ "memory(GiB)": 69.68,
387
+ "step": 160,
388
+ "train_speed(iter/s)": 0.051056
389
+ },
390
+ {
391
+ "epoch": 0.8421052631578947,
392
+ "eval_loss": 0.7034122347831726,
393
+ "eval_runtime": 9.8416,
394
+ "eval_samples_per_second": 6.401,
395
+ "eval_steps_per_second": 0.203,
396
+ "eval_token_acc": 0.7925434670830873,
397
+ "step": 160
398
+ },
399
+ {
400
+ "epoch": 0.868421052631579,
401
+ "grad_norm": 0.404345099061113,
402
+ "learning_rate": 1.2052153421956343e-05,
403
+ "loss": 0.7705528259277343,
404
+ "memory(GiB)": 69.68,
405
+ "step": 165,
406
+ "train_speed(iter/s)": 0.050964
407
+ },
408
+ {
409
+ "epoch": 0.8947368421052632,
410
+ "grad_norm": 0.4116934893822773,
411
+ "learning_rate": 1.164594590280734e-05,
412
+ "loss": 0.7849107265472413,
413
+ "memory(GiB)": 69.68,
414
+ "step": 170,
415
+ "train_speed(iter/s)": 0.051044
416
+ },
417
+ {
418
+ "epoch": 0.9210526315789473,
419
+ "grad_norm": 0.4090058942775372,
420
+ "learning_rate": 1.123692631269348e-05,
421
+ "loss": 0.757164478302002,
422
+ "memory(GiB)": 69.68,
423
+ "step": 175,
424
+ "train_speed(iter/s)": 0.051102
425
+ },
426
+ {
427
+ "epoch": 0.9263157894736842,
428
+ "eval_loss": 0.7005300521850586,
429
+ "eval_runtime": 9.7897,
430
+ "eval_samples_per_second": 6.435,
431
+ "eval_steps_per_second": 0.204,
432
+ "eval_token_acc": 0.7931933309211403,
433
+ "step": 176
434
+ },
435
+ {
436
+ "epoch": 0.9473684210526315,
437
+ "grad_norm": 0.3661599756724907,
438
+ "learning_rate": 1.0825793454723325e-05,
439
+ "loss": 0.7720006942749024,
440
+ "memory(GiB)": 69.68,
441
+ "step": 180,
442
+ "train_speed(iter/s)": 0.051016
443
+ },
444
+ {
445
+ "epoch": 0.9736842105263158,
446
+ "grad_norm": 0.40343584878225963,
447
+ "learning_rate": 1.0413249742488132e-05,
448
+ "loss": 0.7824891090393067,
449
+ "memory(GiB)": 69.68,
450
+ "step": 185,
451
+ "train_speed(iter/s)": 0.051107
452
+ },
453
+ {
454
+ "epoch": 1.0,
455
+ "grad_norm": 0.41506034439679096,
456
+ "learning_rate": 1e-05,
457
+ "loss": 0.7296091079711914,
458
+ "memory(GiB)": 69.68,
459
+ "step": 190,
460
+ "train_speed(iter/s)": 0.051173
461
+ },
462
+ {
463
+ "epoch": 1.0105263157894737,
464
+ "eval_loss": 0.7000582218170166,
465
+ "eval_runtime": 9.8558,
466
+ "eval_samples_per_second": 6.392,
467
+ "eval_steps_per_second": 0.203,
468
+ "eval_token_acc": 0.7939455542648207,
469
+ "step": 192
470
+ },
471
+ {
472
+ "epoch": 1.0263157894736843,
473
+ "grad_norm": 0.38246407542421074,
474
+ "learning_rate": 9.586750257511868e-06,
475
+ "loss": 0.6210448265075683,
476
+ "memory(GiB)": 69.68,
477
+ "step": 195,
478
+ "train_speed(iter/s)": 0.05107
479
+ },
480
+ {
481
+ "epoch": 1.0526315789473684,
482
+ "grad_norm": 0.4086238383459442,
483
+ "learning_rate": 9.174206545276678e-06,
484
+ "loss": 0.6003309726715088,
485
+ "memory(GiB)": 69.68,
486
+ "step": 200,
487
+ "train_speed(iter/s)": 0.051127
488
+ },
489
+ {
490
+ "epoch": 1.0789473684210527,
491
+ "grad_norm": 0.5181020519262887,
492
+ "learning_rate": 8.763073687306523e-06,
493
+ "loss": 0.607297945022583,
494
+ "memory(GiB)": 69.68,
495
+ "step": 205,
496
+ "train_speed(iter/s)": 0.050639
497
+ },
498
+ {
499
+ "epoch": 1.0947368421052632,
500
+ "eval_loss": 0.7147046327590942,
501
+ "eval_runtime": 10.3765,
502
+ "eval_samples_per_second": 6.071,
503
+ "eval_steps_per_second": 0.193,
504
+ "eval_token_acc": 0.7924292053093638,
505
+ "step": 208
506
+ },
507
+ {
508
+ "epoch": 1.1052631578947367,
509
+ "grad_norm": 0.37648543638620585,
510
+ "learning_rate": 8.35405409719266e-06,
511
+ "loss": 0.6064910888671875,
512
+ "memory(GiB)": 69.68,
513
+ "step": 210,
514
+ "train_speed(iter/s)": 0.050556
515
+ },
516
+ {
517
+ "epoch": 1.131578947368421,
518
+ "grad_norm": 0.49314042147480297,
519
+ "learning_rate": 7.947846578043658e-06,
520
+ "loss": 0.5927825927734375,
521
+ "memory(GiB)": 69.68,
522
+ "step": 215,
523
+ "train_speed(iter/s)": 0.050629
524
+ },
525
+ {
526
+ "epoch": 1.1578947368421053,
527
+ "grad_norm": 0.3822092612971886,
528
+ "learning_rate": 7.545145128592009e-06,
529
+ "loss": 0.5842184543609619,
530
+ "memory(GiB)": 69.68,
531
+ "step": 220,
532
+ "train_speed(iter/s)": 0.050696
533
+ },
534
+ {
535
+ "epoch": 1.1789473684210527,
536
+ "eval_loss": 0.7113193273544312,
537
+ "eval_runtime": 9.9005,
538
+ "eval_samples_per_second": 6.363,
539
+ "eval_steps_per_second": 0.202,
540
+ "eval_token_acc": 0.7929076764868314,
541
+ "step": 224
542
+ },
543
+ {
544
+ "epoch": 1.1842105263157894,
545
+ "grad_norm": 0.4045395338102251,
546
+ "learning_rate": 7.14663775750895e-06,
547
+ "loss": 0.6170342445373536,
548
+ "memory(GiB)": 69.68,
549
+ "step": 225,
550
+ "train_speed(iter/s)": 0.050639
551
+ },
552
+ {
553
+ "epoch": 1.2105263157894737,
554
+ "grad_norm": 0.3917516152680252,
555
+ "learning_rate": 6.7530053079531664e-06,
556
+ "loss": 0.6077111244201661,
557
+ "memory(GiB)": 69.68,
558
+ "step": 230,
559
+ "train_speed(iter/s)": 0.0507
560
+ },
561
+ {
562
+ "epoch": 1.236842105263158,
563
+ "grad_norm": 0.37092803642068417,
564
+ "learning_rate": 6.364920294361701e-06,
565
+ "loss": 0.5995924472808838,
566
+ "memory(GiB)": 69.68,
567
+ "step": 235,
568
+ "train_speed(iter/s)": 0.050762
569
+ },
570
+ {
571
+ "epoch": 1.263157894736842,
572
+ "grad_norm": 0.3904513301842613,
573
+ "learning_rate": 5.983045753470308e-06,
574
+ "loss": 0.5835226058959961,
575
+ "memory(GiB)": 69.68,
576
+ "step": 240,
577
+ "train_speed(iter/s)": 0.050813
578
+ },
579
+ {
580
+ "epoch": 1.263157894736842,
581
+ "eval_loss": 0.7080445289611816,
582
+ "eval_runtime": 9.9199,
583
+ "eval_samples_per_second": 6.351,
584
+ "eval_steps_per_second": 0.202,
585
+ "eval_token_acc": 0.7932052331892365,
586
+ "step": 240
587
+ },
588
+ {
589
+ "epoch": 1.2894736842105263,
590
+ "grad_norm": 0.3419804528738108,
591
+ "learning_rate": 5.608034111526298e-06,
592
+ "loss": 0.5964583396911621,
593
+ "memory(GiB)": 69.68,
594
+ "step": 245,
595
+ "train_speed(iter/s)": 0.05074
596
+ },
597
+ {
598
+ "epoch": 1.3157894736842106,
599
+ "grad_norm": 0.3778594571130598,
600
+ "learning_rate": 5.240526069629265e-06,
601
+ "loss": 0.6174930572509766,
602
+ "memory(GiB)": 69.68,
603
+ "step": 250,
604
+ "train_speed(iter/s)": 0.050809
605
+ },
606
+ {
607
+ "epoch": 1.3421052631578947,
608
+ "grad_norm": 0.3454812999080356,
609
+ "learning_rate": 4.881149509103993e-06,
610
+ "loss": 0.6054057121276856,
611
+ "memory(GiB)": 69.68,
612
+ "step": 255,
613
+ "train_speed(iter/s)": 0.050865
614
+ },
615
+ {
616
+ "epoch": 1.3473684210526315,
617
+ "eval_loss": 0.7069370746612549,
618
+ "eval_runtime": 9.9384,
619
+ "eval_samples_per_second": 6.339,
620
+ "eval_steps_per_second": 0.201,
621
+ "eval_token_acc": 0.7936860848203233,
622
+ "step": 256
623
+ },
624
+ {
625
+ "epoch": 1.368421052631579,
626
+ "grad_norm": 0.3459021630061238,
627
+ "learning_rate": 4.530518418775734e-06,
628
+ "loss": 0.6047042846679688,
629
+ "memory(GiB)": 69.68,
630
+ "step": 260,
631
+ "train_speed(iter/s)": 0.050799
632
+ },
633
+ {
634
+ "epoch": 1.3947368421052633,
635
+ "grad_norm": 0.3670462674615966,
636
+ "learning_rate": 4.189231845980618e-06,
637
+ "loss": 0.5852503776550293,
638
+ "memory(GiB)": 69.68,
639
+ "step": 265,
640
+ "train_speed(iter/s)": 0.050844
641
+ },
642
+ {
643
+ "epoch": 1.4210526315789473,
644
+ "grad_norm": 0.36764701477111333,
645
+ "learning_rate": 3.857872873103322e-06,
646
+ "loss": 0.6259764671325684,
647
+ "memory(GiB)": 69.68,
648
+ "step": 270,
649
+ "train_speed(iter/s)": 0.050909
650
+ },
651
+ {
652
+ "epoch": 1.431578947368421,
653
+ "eval_loss": 0.7064932584762573,
654
+ "eval_runtime": 9.8662,
655
+ "eval_samples_per_second": 6.385,
656
+ "eval_steps_per_second": 0.203,
657
+ "eval_token_acc": 0.7939836415227286,
658
+ "step": 272
659
+ },
660
+ {
661
+ "epoch": 1.4473684210526316,
662
+ "grad_norm": 0.3707913076135043,
663
+ "learning_rate": 3.5370076213905904e-06,
664
+ "loss": 0.5928922653198242,
665
+ "memory(GiB)": 69.68,
666
+ "step": 275,
667
+ "train_speed(iter/s)": 0.050851
668
+ },
669
+ {
670
+ "epoch": 1.4736842105263157,
671
+ "grad_norm": 0.3282385891332036,
672
+ "learning_rate": 3.2271842837425917e-06,
673
+ "loss": 0.5990563869476319,
674
+ "memory(GiB)": 69.68,
675
+ "step": 280,
676
+ "train_speed(iter/s)": 0.050922
677
+ },
678
+ {
679
+ "epoch": 1.5,
680
+ "grad_norm": 0.30485631330802376,
681
+ "learning_rate": 2.9289321881345257e-06,
682
+ "loss": 0.5840599060058593,
683
+ "memory(GiB)": 69.68,
684
+ "step": 285,
685
+ "train_speed(iter/s)": 0.050976
686
+ },
687
+ {
688
+ "epoch": 1.5157894736842106,
689
+ "eval_loss": 0.7049282789230347,
690
+ "eval_runtime": 9.8976,
691
+ "eval_samples_per_second": 6.365,
692
+ "eval_steps_per_second": 0.202,
693
+ "eval_token_acc": 0.7940907619355945,
694
+ "step": 288
695
+ },
696
+ {
697
+ "epoch": 1.526315789473684,
698
+ "grad_norm": 0.3541905065359078,
699
+ "learning_rate": 2.642760893268684e-06,
700
+ "loss": 0.6048089027404785,
701
+ "memory(GiB)": 69.68,
702
+ "step": 290,
703
+ "train_speed(iter/s)": 0.050888
704
+ },
705
+ {
706
+ "epoch": 1.5526315789473686,
707
+ "grad_norm": 0.33886535203860046,
708
+ "learning_rate": 2.369159318001937e-06,
709
+ "loss": 0.6013635635375977,
710
+ "memory(GiB)": 69.68,
711
+ "step": 295,
712
+ "train_speed(iter/s)": 0.050935
713
+ },
714
+ {
715
+ "epoch": 1.5789473684210527,
716
+ "grad_norm": 0.3560564200551741,
717
+ "learning_rate": 2.1085949060360654e-06,
718
+ "loss": 0.5912067413330078,
719
+ "memory(GiB)": 69.68,
720
+ "step": 300,
721
+ "train_speed(iter/s)": 0.050982
722
+ },
723
+ {
724
+ "epoch": 1.6,
725
+ "eval_loss": 0.7051891088485718,
726
+ "eval_runtime": 10.0734,
727
+ "eval_samples_per_second": 6.254,
728
+ "eval_steps_per_second": 0.199,
729
+ "eval_token_acc": 0.7941740778122679,
730
+ "step": 304
731
+ },
732
+ {
733
+ "epoch": 1.6052631578947367,
734
+ "grad_norm": 0.4101933630853145,
735
+ "learning_rate": 1.861512827298051e-06,
736
+ "loss": 0.6162192344665527,
737
+ "memory(GiB)": 69.68,
738
+ "step": 305,
739
+ "train_speed(iter/s)": 0.05055
740
+ },
741
+ {
742
+ "epoch": 1.631578947368421,
743
+ "grad_norm": 0.35731263913788486,
744
+ "learning_rate": 1.6283352173747148e-06,
745
+ "loss": 0.5980302810668945,
746
+ "memory(GiB)": 69.68,
747
+ "step": 310,
748
+ "train_speed(iter/s)": 0.050574
749
+ },
750
+ {
751
+ "epoch": 1.6578947368421053,
752
+ "grad_norm": 0.3254781881255832,
753
+ "learning_rate": 1.409460456301147e-06,
754
+ "loss": 0.6072481155395508,
755
+ "memory(GiB)": 69.68,
756
+ "step": 315,
757
+ "train_speed(iter/s)": 0.050633
758
+ },
759
+ {
760
+ "epoch": 1.6842105263157894,
761
+ "grad_norm": 0.34740054250648605,
762
+ "learning_rate": 1.2052624879351105e-06,
763
+ "loss": 0.590502119064331,
764
+ "memory(GiB)": 69.68,
765
+ "step": 320,
766
+ "train_speed(iter/s)": 0.050687
767
+ },
768
+ {
769
+ "epoch": 1.6842105263157894,
770
+ "eval_loss": 0.705406665802002,
771
+ "eval_runtime": 9.9732,
772
+ "eval_samples_per_second": 6.317,
773
+ "eval_steps_per_second": 0.201,
774
+ "eval_token_acc": 0.7945025804117233,
775
+ "step": 320
776
+ },
777
+ {
778
+ "epoch": 1.7105263157894737,
779
+ "grad_norm": 0.3669361360683435,
780
+ "learning_rate": 1.0160901810802114e-06,
781
+ "loss": 0.6109643936157226,
782
+ "memory(GiB)": 69.68,
783
+ "step": 325,
784
+ "train_speed(iter/s)": 0.050646
785
+ },
786
+ {
787
+ "epoch": 1.736842105263158,
788
+ "grad_norm": 0.35255244252893525,
789
+ "learning_rate": 8.42266733449425e-07,
790
+ "loss": 0.598551607131958,
791
+ "memory(GiB)": 69.68,
792
+ "step": 330,
793
+ "train_speed(iter/s)": 0.050696
794
+ },
795
+ {
796
+ "epoch": 1.763157894736842,
797
+ "grad_norm": 0.40857052465226457,
798
+ "learning_rate": 6.840891194872112e-07,
799
+ "loss": 0.5822429656982422,
800
+ "memory(GiB)": 69.68,
801
+ "step": 335,
802
+ "train_speed(iter/s)": 0.050739
803
+ },
804
+ {
805
+ "epoch": 1.768421052631579,
806
+ "eval_loss": 0.7043415307998657,
807
+ "eval_runtime": 10.0333,
808
+ "eval_samples_per_second": 6.279,
809
+ "eval_steps_per_second": 0.199,
810
+ "eval_token_acc": 0.7944002209060959,
811
+ "step": 336
812
+ },
813
+ {
814
+ "epoch": 1.7894736842105263,
815
+ "grad_norm": 0.33686853385429094,
816
+ "learning_rate": 5.418275829936537e-07,
817
+ "loss": 0.5957964897155762,
818
+ "memory(GiB)": 69.68,
819
+ "step": 340,
820
+ "train_speed(iter/s)": 0.05072
821
+ },
822
+ {
823
+ "epoch": 1.8157894736842106,
824
+ "grad_norm": 0.3347165001043132,
825
+ "learning_rate": 4.1572517541747294e-07,
826
+ "loss": 0.5949300765991211,
827
+ "memory(GiB)": 69.68,
828
+ "step": 345,
829
+ "train_speed(iter/s)": 0.050761
830
+ },
831
+ {
832
+ "epoch": 1.8421052631578947,
833
+ "grad_norm": 0.3526011133437637,
834
+ "learning_rate": 3.059973406066963e-07,
835
+ "loss": 0.6076947689056397,
836
+ "memory(GiB)": 69.68,
837
+ "step": 350,
838
+ "train_speed(iter/s)": 0.050779
839
+ },
840
+ {
841
+ "epoch": 1.8526315789473684,
842
+ "eval_loss": 0.7042702436447144,
843
+ "eval_runtime": 9.8892,
844
+ "eval_samples_per_second": 6.371,
845
+ "eval_steps_per_second": 0.202,
846
+ "eval_token_acc": 0.7943549922873303,
847
+ "step": 352
848
+ },
849
+ {
850
+ "epoch": 1.868421052631579,
851
+ "grad_norm": 0.34715798268979603,
852
+ "learning_rate": 2.1283154672645522e-07,
853
+ "loss": 0.5999661445617676,
854
+ "memory(GiB)": 69.68,
855
+ "step": 355,
856
+ "train_speed(iter/s)": 0.050733
857
+ },
858
+ {
859
+ "epoch": 1.8947368421052633,
860
+ "grad_norm": 0.3528812895767884,
861
+ "learning_rate": 1.3638696597277678e-07,
862
+ "loss": 0.583561372756958,
863
+ "memory(GiB)": 69.68,
864
+ "step": 360,
865
+ "train_speed(iter/s)": 0.050768
866
+ },
867
+ {
868
+ "epoch": 1.9210526315789473,
869
+ "grad_norm": 0.330353105837426,
870
+ "learning_rate": 7.679420262954984e-08,
871
+ "loss": 0.5857907295227051,
872
+ "memory(GiB)": 69.68,
873
+ "step": 365,
874
+ "train_speed(iter/s)": 0.050822
875
+ },
876
+ {
877
+ "epoch": 1.936842105263158,
878
+ "eval_loss": 0.7041947841644287,
879
+ "eval_runtime": 9.9348,
880
+ "eval_samples_per_second": 6.341,
881
+ "eval_steps_per_second": 0.201,
882
+ "eval_token_acc": 0.7944621127001962,
883
+ "step": 368
884
+ },
885
+ {
886
+ "epoch": 1.9473684210526314,
887
+ "grad_norm": 0.3549687395322014,
888
+ "learning_rate": 3.4155069933301535e-08,
889
+ "loss": 0.6037016868591308,
890
+ "memory(GiB)": 69.68,
891
+ "step": 370,
892
+ "train_speed(iter/s)": 0.050781
893
+ },
894
+ {
895
+ "epoch": 1.973684210526316,
896
+ "grad_norm": 0.3394111981962662,
897
+ "learning_rate": 8.542416126989805e-09,
898
+ "loss": 0.6164089202880859,
899
+ "memory(GiB)": 69.68,
900
+ "step": 375,
901
+ "train_speed(iter/s)": 0.050825
902
+ },
903
+ {
904
+ "epoch": 2.0,
905
+ "grad_norm": 0.3439629679872151,
906
+ "learning_rate": 0.0,
907
+ "loss": 0.6200397491455079,
908
+ "memory(GiB)": 69.68,
909
+ "step": 380,
910
+ "train_speed(iter/s)": 0.050867
911
+ },
912
+ {
913
+ "epoch": 2.0,
914
+ "eval_loss": 0.7041846513748169,
915
+ "eval_runtime": 9.8952,
916
+ "eval_samples_per_second": 6.367,
917
+ "eval_steps_per_second": 0.202,
918
+ "eval_token_acc": 0.7943787968235226,
919
+ "step": 380
920
+ }
921
+ ],
922
+ "logging_steps": 5,
923
+ "max_steps": 380,
924
+ "num_input_tokens_seen": 0,
925
+ "num_train_epochs": 2,
926
+ "save_steps": 100,
927
+ "stateful_callbacks": {
928
+ "TrainerControl": {
929
+ "args": {
930
+ "should_epoch_stop": false,
931
+ "should_evaluate": false,
932
+ "should_log": false,
933
+ "should_save": true,
934
+ "should_training_stop": true
935
+ },
936
+ "attributes": {}
937
+ }
938
+ },
939
+ "total_flos": 2673065754361856.0,
940
+ "train_batch_size": 1,
941
+ "trial_name": null,
942
+ "trial_params": null
943
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c60f6703fc4ef9c268b217846a75e454205036b79867f62c3fec914505b7770d
3
+ size 9105
vocab.json ADDED
The diff for this file is too large to render. See raw diff