Add files using upload-large-folder tool
Browse files- README.md +7 -9
- chat_template.jinja +4 -3
- config.json +1336 -2
- generation_config.json +13 -12
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- special_tokens_map.json +1 -1
- tokenizer.json +3 -0
- tokenizer_config.json +3 -3
README.md
CHANGED
|
@@ -1,20 +1,18 @@
|
|
| 1 |
---
|
| 2 |
-
library_name: mlx
|
| 3 |
-
license: apache-2.0
|
| 4 |
-
license_link: https://huggingface.co/Qwen/Qwen3-14B/blob/main/LICENSE
|
| 5 |
-
pipeline_tag: text-generation
|
| 6 |
-
base_model: Qwen/Qwen3-14B
|
| 7 |
tags:
|
|
|
|
| 8 |
- mlx
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
# mlx-community/Qwen3-14B-4bit-AWQ
|
| 12 |
|
| 13 |
This model [mlx-community/Qwen3-14B-4bit-AWQ](https://huggingface.co/mlx-community/Qwen3-14B-4bit-AWQ) was
|
| 14 |
-
converted to MLX format from [
|
| 15 |
-
using mlx-lm version **0.
|
| 16 |
-
|
| 17 |
-
AWQ Parameters: --bits 4 --group-size 64 --embed-bits 4 --embed-group-size 32 --num-samples 256 --sequence-length 1024 --n-grid 50
|
| 18 |
|
| 19 |
## Use with mlx
|
| 20 |
|
|
|
|
| 1 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2 |
tags:
|
| 3 |
+
- unsloth
|
| 4 |
- mlx
|
| 5 |
+
base_model: unsloth/Qwen3-14B
|
| 6 |
+
license: apache-2.0
|
| 7 |
+
pipeline_tag: text-generation
|
| 8 |
+
library_name: mlx
|
| 9 |
---
|
| 10 |
|
| 11 |
# mlx-community/Qwen3-14B-4bit-AWQ
|
| 12 |
|
| 13 |
This model [mlx-community/Qwen3-14B-4bit-AWQ](https://huggingface.co/mlx-community/Qwen3-14B-4bit-AWQ) was
|
| 14 |
+
converted to MLX format from [unsloth/Qwen3-14B](https://huggingface.co/unsloth/Qwen3-14B)
|
| 15 |
+
using mlx-lm version **0.26.3**.
|
|
|
|
|
|
|
| 16 |
|
| 17 |
## Use with mlx
|
| 18 |
|
chat_template.jinja
CHANGED
|
@@ -18,16 +18,17 @@
|
|
| 18 |
{%- for forward_message in messages %}
|
| 19 |
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
{%- set message = messages[index] %}
|
|
|
|
| 21 |
{%- set tool_start = '<tool_response>' %}
|
| 22 |
{%- set tool_start_length = tool_start|length %}
|
| 23 |
-
{%- set start_of_message =
|
| 24 |
{%- set tool_end = '</tool_response>' %}
|
| 25 |
{%- set tool_end_length = tool_end|length %}
|
| 26 |
-
{%- set start_pos = (
|
| 27 |
{%- if start_pos < 0 %}
|
| 28 |
{%- set start_pos = 0 %}
|
| 29 |
{%- endif %}
|
| 30 |
-
{%- set end_of_message =
|
| 31 |
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
| 32 |
{%- set ns.multi_step_tool = false %}
|
| 33 |
{%- set ns.last_query_index = index %}
|
|
|
|
| 18 |
{%- for forward_message in messages %}
|
| 19 |
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
{%- set message = messages[index] %}
|
| 21 |
+
{%- set current_content = message.content if message.content is not none else '' %}
|
| 22 |
{%- set tool_start = '<tool_response>' %}
|
| 23 |
{%- set tool_start_length = tool_start|length %}
|
| 24 |
+
{%- set start_of_message = current_content[:tool_start_length] %}
|
| 25 |
{%- set tool_end = '</tool_response>' %}
|
| 26 |
{%- set tool_end_length = tool_end|length %}
|
| 27 |
+
{%- set start_pos = (current_content|length) - tool_end_length %}
|
| 28 |
{%- if start_pos < 0 %}
|
| 29 |
{%- set start_pos = 0 %}
|
| 30 |
{%- endif %}
|
| 31 |
+
{%- set end_of_message = current_content[start_pos:] %}
|
| 32 |
{%- if ns.multi_step_tool and message.role == "user" and not(start_of_message == tool_start and end_of_message == tool_end) %}
|
| 33 |
{%- set ns.multi_step_tool = false %}
|
| 34 |
{%- set ns.last_query_index = index %}
|
config.json
CHANGED
|
@@ -4,7 +4,6 @@
|
|
| 4 |
],
|
| 5 |
"attention_bias": false,
|
| 6 |
"attention_dropout": 0.0,
|
| 7 |
-
"bos_token_id": 151643,
|
| 8 |
"eos_token_id": 151645,
|
| 9 |
"head_dim": 128,
|
| 10 |
"hidden_act": "silu",
|
|
@@ -17,6 +16,7 @@
|
|
| 17 |
"num_attention_heads": 40,
|
| 18 |
"num_hidden_layers": 40,
|
| 19 |
"num_key_value_heads": 8,
|
|
|
|
| 20 |
"quantization": {
|
| 21 |
"group_size": 64,
|
| 22 |
"bits": 4,
|
|
@@ -1350,13 +1350,1347 @@
|
|
| 1350 |
"bits": 4
|
| 1351 |
}
|
| 1352 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1353 |
"rms_norm_eps": 1e-06,
|
| 1354 |
"rope_scaling": null,
|
| 1355 |
"rope_theta": 1000000,
|
| 1356 |
"sliding_window": null,
|
| 1357 |
"tie_word_embeddings": false,
|
| 1358 |
"torch_dtype": "bfloat16",
|
| 1359 |
-
"transformers_version": "4.51.
|
|
|
|
| 1360 |
"use_cache": true,
|
| 1361 |
"use_sliding_window": false,
|
| 1362 |
"vocab_size": 151936
|
|
|
|
| 4 |
],
|
| 5 |
"attention_bias": false,
|
| 6 |
"attention_dropout": 0.0,
|
|
|
|
| 7 |
"eos_token_id": 151645,
|
| 8 |
"head_dim": 128,
|
| 9 |
"hidden_act": "silu",
|
|
|
|
| 16 |
"num_attention_heads": 40,
|
| 17 |
"num_hidden_layers": 40,
|
| 18 |
"num_key_value_heads": 8,
|
| 19 |
+
"pad_token_id": 151654,
|
| 20 |
"quantization": {
|
| 21 |
"group_size": 64,
|
| 22 |
"bits": 4,
|
|
|
|
| 1350 |
"bits": 4
|
| 1351 |
}
|
| 1352 |
},
|
| 1353 |
+
"quantization_config": {
|
| 1354 |
+
"group_size": 64,
|
| 1355 |
+
"bits": 4,
|
| 1356 |
+
"model.embed_tokens": {
|
| 1357 |
+
"group_size": 32,
|
| 1358 |
+
"bits": 4
|
| 1359 |
+
},
|
| 1360 |
+
"model.layers.0.self_attn.q_proj": {
|
| 1361 |
+
"group_size": 64,
|
| 1362 |
+
"bits": 4
|
| 1363 |
+
},
|
| 1364 |
+
"model.layers.0.self_attn.k_proj": {
|
| 1365 |
+
"group_size": 64,
|
| 1366 |
+
"bits": 4
|
| 1367 |
+
},
|
| 1368 |
+
"model.layers.0.self_attn.v_proj": {
|
| 1369 |
+
"group_size": 64,
|
| 1370 |
+
"bits": 4
|
| 1371 |
+
},
|
| 1372 |
+
"model.layers.0.self_attn.o_proj": {
|
| 1373 |
+
"group_size": 64,
|
| 1374 |
+
"bits": 4
|
| 1375 |
+
},
|
| 1376 |
+
"model.layers.0.self_attn.q_norm": false,
|
| 1377 |
+
"model.layers.0.self_attn.k_norm": false,
|
| 1378 |
+
"model.layers.0.self_attn.rope": false,
|
| 1379 |
+
"model.layers.0.mlp.gate_proj": {
|
| 1380 |
+
"group_size": 64,
|
| 1381 |
+
"bits": 4
|
| 1382 |
+
},
|
| 1383 |
+
"model.layers.0.mlp.down_proj": {
|
| 1384 |
+
"group_size": 64,
|
| 1385 |
+
"bits": 4
|
| 1386 |
+
},
|
| 1387 |
+
"model.layers.0.mlp.up_proj": {
|
| 1388 |
+
"group_size": 64,
|
| 1389 |
+
"bits": 4
|
| 1390 |
+
},
|
| 1391 |
+
"model.layers.0.input_layernorm": false,
|
| 1392 |
+
"model.layers.0.post_attention_layernorm": false,
|
| 1393 |
+
"model.layers.1.self_attn.q_proj": {
|
| 1394 |
+
"group_size": 64,
|
| 1395 |
+
"bits": 4
|
| 1396 |
+
},
|
| 1397 |
+
"model.layers.1.self_attn.k_proj": {
|
| 1398 |
+
"group_size": 64,
|
| 1399 |
+
"bits": 4
|
| 1400 |
+
},
|
| 1401 |
+
"model.layers.1.self_attn.v_proj": {
|
| 1402 |
+
"group_size": 64,
|
| 1403 |
+
"bits": 4
|
| 1404 |
+
},
|
| 1405 |
+
"model.layers.1.self_attn.o_proj": {
|
| 1406 |
+
"group_size": 64,
|
| 1407 |
+
"bits": 4
|
| 1408 |
+
},
|
| 1409 |
+
"model.layers.1.self_attn.q_norm": false,
|
| 1410 |
+
"model.layers.1.self_attn.k_norm": false,
|
| 1411 |
+
"model.layers.1.self_attn.rope": false,
|
| 1412 |
+
"model.layers.1.mlp.gate_proj": {
|
| 1413 |
+
"group_size": 64,
|
| 1414 |
+
"bits": 4
|
| 1415 |
+
},
|
| 1416 |
+
"model.layers.1.mlp.down_proj": {
|
| 1417 |
+
"group_size": 64,
|
| 1418 |
+
"bits": 4
|
| 1419 |
+
},
|
| 1420 |
+
"model.layers.1.mlp.up_proj": {
|
| 1421 |
+
"group_size": 64,
|
| 1422 |
+
"bits": 4
|
| 1423 |
+
},
|
| 1424 |
+
"model.layers.1.input_layernorm": false,
|
| 1425 |
+
"model.layers.1.post_attention_layernorm": false,
|
| 1426 |
+
"model.layers.2.self_attn.q_proj": {
|
| 1427 |
+
"group_size": 64,
|
| 1428 |
+
"bits": 4
|
| 1429 |
+
},
|
| 1430 |
+
"model.layers.2.self_attn.k_proj": {
|
| 1431 |
+
"group_size": 64,
|
| 1432 |
+
"bits": 4
|
| 1433 |
+
},
|
| 1434 |
+
"model.layers.2.self_attn.v_proj": {
|
| 1435 |
+
"group_size": 64,
|
| 1436 |
+
"bits": 4
|
| 1437 |
+
},
|
| 1438 |
+
"model.layers.2.self_attn.o_proj": {
|
| 1439 |
+
"group_size": 64,
|
| 1440 |
+
"bits": 4
|
| 1441 |
+
},
|
| 1442 |
+
"model.layers.2.self_attn.q_norm": false,
|
| 1443 |
+
"model.layers.2.self_attn.k_norm": false,
|
| 1444 |
+
"model.layers.2.self_attn.rope": false,
|
| 1445 |
+
"model.layers.2.mlp.gate_proj": {
|
| 1446 |
+
"group_size": 64,
|
| 1447 |
+
"bits": 4
|
| 1448 |
+
},
|
| 1449 |
+
"model.layers.2.mlp.down_proj": {
|
| 1450 |
+
"group_size": 64,
|
| 1451 |
+
"bits": 4
|
| 1452 |
+
},
|
| 1453 |
+
"model.layers.2.mlp.up_proj": {
|
| 1454 |
+
"group_size": 64,
|
| 1455 |
+
"bits": 4
|
| 1456 |
+
},
|
| 1457 |
+
"model.layers.2.input_layernorm": false,
|
| 1458 |
+
"model.layers.2.post_attention_layernorm": false,
|
| 1459 |
+
"model.layers.3.self_attn.q_proj": {
|
| 1460 |
+
"group_size": 64,
|
| 1461 |
+
"bits": 4
|
| 1462 |
+
},
|
| 1463 |
+
"model.layers.3.self_attn.k_proj": {
|
| 1464 |
+
"group_size": 64,
|
| 1465 |
+
"bits": 4
|
| 1466 |
+
},
|
| 1467 |
+
"model.layers.3.self_attn.v_proj": {
|
| 1468 |
+
"group_size": 64,
|
| 1469 |
+
"bits": 4
|
| 1470 |
+
},
|
| 1471 |
+
"model.layers.3.self_attn.o_proj": {
|
| 1472 |
+
"group_size": 64,
|
| 1473 |
+
"bits": 4
|
| 1474 |
+
},
|
| 1475 |
+
"model.layers.3.self_attn.q_norm": false,
|
| 1476 |
+
"model.layers.3.self_attn.k_norm": false,
|
| 1477 |
+
"model.layers.3.self_attn.rope": false,
|
| 1478 |
+
"model.layers.3.mlp.gate_proj": {
|
| 1479 |
+
"group_size": 64,
|
| 1480 |
+
"bits": 4
|
| 1481 |
+
},
|
| 1482 |
+
"model.layers.3.mlp.down_proj": {
|
| 1483 |
+
"group_size": 64,
|
| 1484 |
+
"bits": 4
|
| 1485 |
+
},
|
| 1486 |
+
"model.layers.3.mlp.up_proj": {
|
| 1487 |
+
"group_size": 64,
|
| 1488 |
+
"bits": 4
|
| 1489 |
+
},
|
| 1490 |
+
"model.layers.3.input_layernorm": false,
|
| 1491 |
+
"model.layers.3.post_attention_layernorm": false,
|
| 1492 |
+
"model.layers.4.self_attn.q_proj": {
|
| 1493 |
+
"group_size": 64,
|
| 1494 |
+
"bits": 4
|
| 1495 |
+
},
|
| 1496 |
+
"model.layers.4.self_attn.k_proj": {
|
| 1497 |
+
"group_size": 64,
|
| 1498 |
+
"bits": 4
|
| 1499 |
+
},
|
| 1500 |
+
"model.layers.4.self_attn.v_proj": {
|
| 1501 |
+
"group_size": 64,
|
| 1502 |
+
"bits": 4
|
| 1503 |
+
},
|
| 1504 |
+
"model.layers.4.self_attn.o_proj": {
|
| 1505 |
+
"group_size": 64,
|
| 1506 |
+
"bits": 4
|
| 1507 |
+
},
|
| 1508 |
+
"model.layers.4.self_attn.q_norm": false,
|
| 1509 |
+
"model.layers.4.self_attn.k_norm": false,
|
| 1510 |
+
"model.layers.4.self_attn.rope": false,
|
| 1511 |
+
"model.layers.4.mlp.gate_proj": {
|
| 1512 |
+
"group_size": 64,
|
| 1513 |
+
"bits": 4
|
| 1514 |
+
},
|
| 1515 |
+
"model.layers.4.mlp.down_proj": {
|
| 1516 |
+
"group_size": 64,
|
| 1517 |
+
"bits": 4
|
| 1518 |
+
},
|
| 1519 |
+
"model.layers.4.mlp.up_proj": {
|
| 1520 |
+
"group_size": 64,
|
| 1521 |
+
"bits": 4
|
| 1522 |
+
},
|
| 1523 |
+
"model.layers.4.input_layernorm": false,
|
| 1524 |
+
"model.layers.4.post_attention_layernorm": false,
|
| 1525 |
+
"model.layers.5.self_attn.q_proj": {
|
| 1526 |
+
"group_size": 64,
|
| 1527 |
+
"bits": 4
|
| 1528 |
+
},
|
| 1529 |
+
"model.layers.5.self_attn.k_proj": {
|
| 1530 |
+
"group_size": 64,
|
| 1531 |
+
"bits": 4
|
| 1532 |
+
},
|
| 1533 |
+
"model.layers.5.self_attn.v_proj": {
|
| 1534 |
+
"group_size": 64,
|
| 1535 |
+
"bits": 4
|
| 1536 |
+
},
|
| 1537 |
+
"model.layers.5.self_attn.o_proj": {
|
| 1538 |
+
"group_size": 64,
|
| 1539 |
+
"bits": 4
|
| 1540 |
+
},
|
| 1541 |
+
"model.layers.5.self_attn.q_norm": false,
|
| 1542 |
+
"model.layers.5.self_attn.k_norm": false,
|
| 1543 |
+
"model.layers.5.self_attn.rope": false,
|
| 1544 |
+
"model.layers.5.mlp.gate_proj": {
|
| 1545 |
+
"group_size": 64,
|
| 1546 |
+
"bits": 4
|
| 1547 |
+
},
|
| 1548 |
+
"model.layers.5.mlp.down_proj": {
|
| 1549 |
+
"group_size": 64,
|
| 1550 |
+
"bits": 4
|
| 1551 |
+
},
|
| 1552 |
+
"model.layers.5.mlp.up_proj": {
|
| 1553 |
+
"group_size": 64,
|
| 1554 |
+
"bits": 4
|
| 1555 |
+
},
|
| 1556 |
+
"model.layers.5.input_layernorm": false,
|
| 1557 |
+
"model.layers.5.post_attention_layernorm": false,
|
| 1558 |
+
"model.layers.6.self_attn.q_proj": {
|
| 1559 |
+
"group_size": 64,
|
| 1560 |
+
"bits": 4
|
| 1561 |
+
},
|
| 1562 |
+
"model.layers.6.self_attn.k_proj": {
|
| 1563 |
+
"group_size": 64,
|
| 1564 |
+
"bits": 4
|
| 1565 |
+
},
|
| 1566 |
+
"model.layers.6.self_attn.v_proj": {
|
| 1567 |
+
"group_size": 64,
|
| 1568 |
+
"bits": 4
|
| 1569 |
+
},
|
| 1570 |
+
"model.layers.6.self_attn.o_proj": {
|
| 1571 |
+
"group_size": 64,
|
| 1572 |
+
"bits": 4
|
| 1573 |
+
},
|
| 1574 |
+
"model.layers.6.self_attn.q_norm": false,
|
| 1575 |
+
"model.layers.6.self_attn.k_norm": false,
|
| 1576 |
+
"model.layers.6.self_attn.rope": false,
|
| 1577 |
+
"model.layers.6.mlp.gate_proj": {
|
| 1578 |
+
"group_size": 64,
|
| 1579 |
+
"bits": 4
|
| 1580 |
+
},
|
| 1581 |
+
"model.layers.6.mlp.down_proj": {
|
| 1582 |
+
"group_size": 64,
|
| 1583 |
+
"bits": 4
|
| 1584 |
+
},
|
| 1585 |
+
"model.layers.6.mlp.up_proj": {
|
| 1586 |
+
"group_size": 64,
|
| 1587 |
+
"bits": 4
|
| 1588 |
+
},
|
| 1589 |
+
"model.layers.6.input_layernorm": false,
|
| 1590 |
+
"model.layers.6.post_attention_layernorm": false,
|
| 1591 |
+
"model.layers.7.self_attn.q_proj": {
|
| 1592 |
+
"group_size": 64,
|
| 1593 |
+
"bits": 4
|
| 1594 |
+
},
|
| 1595 |
+
"model.layers.7.self_attn.k_proj": {
|
| 1596 |
+
"group_size": 64,
|
| 1597 |
+
"bits": 4
|
| 1598 |
+
},
|
| 1599 |
+
"model.layers.7.self_attn.v_proj": {
|
| 1600 |
+
"group_size": 64,
|
| 1601 |
+
"bits": 4
|
| 1602 |
+
},
|
| 1603 |
+
"model.layers.7.self_attn.o_proj": {
|
| 1604 |
+
"group_size": 64,
|
| 1605 |
+
"bits": 4
|
| 1606 |
+
},
|
| 1607 |
+
"model.layers.7.self_attn.q_norm": false,
|
| 1608 |
+
"model.layers.7.self_attn.k_norm": false,
|
| 1609 |
+
"model.layers.7.self_attn.rope": false,
|
| 1610 |
+
"model.layers.7.mlp.gate_proj": {
|
| 1611 |
+
"group_size": 64,
|
| 1612 |
+
"bits": 4
|
| 1613 |
+
},
|
| 1614 |
+
"model.layers.7.mlp.down_proj": {
|
| 1615 |
+
"group_size": 64,
|
| 1616 |
+
"bits": 4
|
| 1617 |
+
},
|
| 1618 |
+
"model.layers.7.mlp.up_proj": {
|
| 1619 |
+
"group_size": 64,
|
| 1620 |
+
"bits": 4
|
| 1621 |
+
},
|
| 1622 |
+
"model.layers.7.input_layernorm": false,
|
| 1623 |
+
"model.layers.7.post_attention_layernorm": false,
|
| 1624 |
+
"model.layers.8.self_attn.q_proj": {
|
| 1625 |
+
"group_size": 64,
|
| 1626 |
+
"bits": 4
|
| 1627 |
+
},
|
| 1628 |
+
"model.layers.8.self_attn.k_proj": {
|
| 1629 |
+
"group_size": 64,
|
| 1630 |
+
"bits": 4
|
| 1631 |
+
},
|
| 1632 |
+
"model.layers.8.self_attn.v_proj": {
|
| 1633 |
+
"group_size": 64,
|
| 1634 |
+
"bits": 4
|
| 1635 |
+
},
|
| 1636 |
+
"model.layers.8.self_attn.o_proj": {
|
| 1637 |
+
"group_size": 64,
|
| 1638 |
+
"bits": 4
|
| 1639 |
+
},
|
| 1640 |
+
"model.layers.8.self_attn.q_norm": false,
|
| 1641 |
+
"model.layers.8.self_attn.k_norm": false,
|
| 1642 |
+
"model.layers.8.self_attn.rope": false,
|
| 1643 |
+
"model.layers.8.mlp.gate_proj": {
|
| 1644 |
+
"group_size": 64,
|
| 1645 |
+
"bits": 4
|
| 1646 |
+
},
|
| 1647 |
+
"model.layers.8.mlp.down_proj": {
|
| 1648 |
+
"group_size": 64,
|
| 1649 |
+
"bits": 4
|
| 1650 |
+
},
|
| 1651 |
+
"model.layers.8.mlp.up_proj": {
|
| 1652 |
+
"group_size": 64,
|
| 1653 |
+
"bits": 4
|
| 1654 |
+
},
|
| 1655 |
+
"model.layers.8.input_layernorm": false,
|
| 1656 |
+
"model.layers.8.post_attention_layernorm": false,
|
| 1657 |
+
"model.layers.9.self_attn.q_proj": {
|
| 1658 |
+
"group_size": 64,
|
| 1659 |
+
"bits": 4
|
| 1660 |
+
},
|
| 1661 |
+
"model.layers.9.self_attn.k_proj": {
|
| 1662 |
+
"group_size": 64,
|
| 1663 |
+
"bits": 4
|
| 1664 |
+
},
|
| 1665 |
+
"model.layers.9.self_attn.v_proj": {
|
| 1666 |
+
"group_size": 64,
|
| 1667 |
+
"bits": 4
|
| 1668 |
+
},
|
| 1669 |
+
"model.layers.9.self_attn.o_proj": {
|
| 1670 |
+
"group_size": 64,
|
| 1671 |
+
"bits": 4
|
| 1672 |
+
},
|
| 1673 |
+
"model.layers.9.self_attn.q_norm": false,
|
| 1674 |
+
"model.layers.9.self_attn.k_norm": false,
|
| 1675 |
+
"model.layers.9.self_attn.rope": false,
|
| 1676 |
+
"model.layers.9.mlp.gate_proj": {
|
| 1677 |
+
"group_size": 64,
|
| 1678 |
+
"bits": 4
|
| 1679 |
+
},
|
| 1680 |
+
"model.layers.9.mlp.down_proj": {
|
| 1681 |
+
"group_size": 64,
|
| 1682 |
+
"bits": 4
|
| 1683 |
+
},
|
| 1684 |
+
"model.layers.9.mlp.up_proj": {
|
| 1685 |
+
"group_size": 64,
|
| 1686 |
+
"bits": 4
|
| 1687 |
+
},
|
| 1688 |
+
"model.layers.9.input_layernorm": false,
|
| 1689 |
+
"model.layers.9.post_attention_layernorm": false,
|
| 1690 |
+
"model.layers.10.self_attn.q_proj": {
|
| 1691 |
+
"group_size": 64,
|
| 1692 |
+
"bits": 4
|
| 1693 |
+
},
|
| 1694 |
+
"model.layers.10.self_attn.k_proj": {
|
| 1695 |
+
"group_size": 64,
|
| 1696 |
+
"bits": 4
|
| 1697 |
+
},
|
| 1698 |
+
"model.layers.10.self_attn.v_proj": {
|
| 1699 |
+
"group_size": 64,
|
| 1700 |
+
"bits": 4
|
| 1701 |
+
},
|
| 1702 |
+
"model.layers.10.self_attn.o_proj": {
|
| 1703 |
+
"group_size": 64,
|
| 1704 |
+
"bits": 4
|
| 1705 |
+
},
|
| 1706 |
+
"model.layers.10.self_attn.q_norm": false,
|
| 1707 |
+
"model.layers.10.self_attn.k_norm": false,
|
| 1708 |
+
"model.layers.10.self_attn.rope": false,
|
| 1709 |
+
"model.layers.10.mlp.gate_proj": {
|
| 1710 |
+
"group_size": 64,
|
| 1711 |
+
"bits": 4
|
| 1712 |
+
},
|
| 1713 |
+
"model.layers.10.mlp.down_proj": {
|
| 1714 |
+
"group_size": 64,
|
| 1715 |
+
"bits": 4
|
| 1716 |
+
},
|
| 1717 |
+
"model.layers.10.mlp.up_proj": {
|
| 1718 |
+
"group_size": 64,
|
| 1719 |
+
"bits": 4
|
| 1720 |
+
},
|
| 1721 |
+
"model.layers.10.input_layernorm": false,
|
| 1722 |
+
"model.layers.10.post_attention_layernorm": false,
|
| 1723 |
+
"model.layers.11.self_attn.q_proj": {
|
| 1724 |
+
"group_size": 64,
|
| 1725 |
+
"bits": 4
|
| 1726 |
+
},
|
| 1727 |
+
"model.layers.11.self_attn.k_proj": {
|
| 1728 |
+
"group_size": 64,
|
| 1729 |
+
"bits": 4
|
| 1730 |
+
},
|
| 1731 |
+
"model.layers.11.self_attn.v_proj": {
|
| 1732 |
+
"group_size": 64,
|
| 1733 |
+
"bits": 4
|
| 1734 |
+
},
|
| 1735 |
+
"model.layers.11.self_attn.o_proj": {
|
| 1736 |
+
"group_size": 64,
|
| 1737 |
+
"bits": 4
|
| 1738 |
+
},
|
| 1739 |
+
"model.layers.11.self_attn.q_norm": false,
|
| 1740 |
+
"model.layers.11.self_attn.k_norm": false,
|
| 1741 |
+
"model.layers.11.self_attn.rope": false,
|
| 1742 |
+
"model.layers.11.mlp.gate_proj": {
|
| 1743 |
+
"group_size": 64,
|
| 1744 |
+
"bits": 4
|
| 1745 |
+
},
|
| 1746 |
+
"model.layers.11.mlp.down_proj": {
|
| 1747 |
+
"group_size": 64,
|
| 1748 |
+
"bits": 4
|
| 1749 |
+
},
|
| 1750 |
+
"model.layers.11.mlp.up_proj": {
|
| 1751 |
+
"group_size": 64,
|
| 1752 |
+
"bits": 4
|
| 1753 |
+
},
|
| 1754 |
+
"model.layers.11.input_layernorm": false,
|
| 1755 |
+
"model.layers.11.post_attention_layernorm": false,
|
| 1756 |
+
"model.layers.12.self_attn.q_proj": {
|
| 1757 |
+
"group_size": 64,
|
| 1758 |
+
"bits": 4
|
| 1759 |
+
},
|
| 1760 |
+
"model.layers.12.self_attn.k_proj": {
|
| 1761 |
+
"group_size": 64,
|
| 1762 |
+
"bits": 4
|
| 1763 |
+
},
|
| 1764 |
+
"model.layers.12.self_attn.v_proj": {
|
| 1765 |
+
"group_size": 64,
|
| 1766 |
+
"bits": 4
|
| 1767 |
+
},
|
| 1768 |
+
"model.layers.12.self_attn.o_proj": {
|
| 1769 |
+
"group_size": 64,
|
| 1770 |
+
"bits": 4
|
| 1771 |
+
},
|
| 1772 |
+
"model.layers.12.self_attn.q_norm": false,
|
| 1773 |
+
"model.layers.12.self_attn.k_norm": false,
|
| 1774 |
+
"model.layers.12.self_attn.rope": false,
|
| 1775 |
+
"model.layers.12.mlp.gate_proj": {
|
| 1776 |
+
"group_size": 64,
|
| 1777 |
+
"bits": 4
|
| 1778 |
+
},
|
| 1779 |
+
"model.layers.12.mlp.down_proj": {
|
| 1780 |
+
"group_size": 64,
|
| 1781 |
+
"bits": 4
|
| 1782 |
+
},
|
| 1783 |
+
"model.layers.12.mlp.up_proj": {
|
| 1784 |
+
"group_size": 64,
|
| 1785 |
+
"bits": 4
|
| 1786 |
+
},
|
| 1787 |
+
"model.layers.12.input_layernorm": false,
|
| 1788 |
+
"model.layers.12.post_attention_layernorm": false,
|
| 1789 |
+
"model.layers.13.self_attn.q_proj": {
|
| 1790 |
+
"group_size": 64,
|
| 1791 |
+
"bits": 4
|
| 1792 |
+
},
|
| 1793 |
+
"model.layers.13.self_attn.k_proj": {
|
| 1794 |
+
"group_size": 64,
|
| 1795 |
+
"bits": 4
|
| 1796 |
+
},
|
| 1797 |
+
"model.layers.13.self_attn.v_proj": {
|
| 1798 |
+
"group_size": 64,
|
| 1799 |
+
"bits": 4
|
| 1800 |
+
},
|
| 1801 |
+
"model.layers.13.self_attn.o_proj": {
|
| 1802 |
+
"group_size": 64,
|
| 1803 |
+
"bits": 4
|
| 1804 |
+
},
|
| 1805 |
+
"model.layers.13.self_attn.q_norm": false,
|
| 1806 |
+
"model.layers.13.self_attn.k_norm": false,
|
| 1807 |
+
"model.layers.13.self_attn.rope": false,
|
| 1808 |
+
"model.layers.13.mlp.gate_proj": {
|
| 1809 |
+
"group_size": 64,
|
| 1810 |
+
"bits": 4
|
| 1811 |
+
},
|
| 1812 |
+
"model.layers.13.mlp.down_proj": {
|
| 1813 |
+
"group_size": 64,
|
| 1814 |
+
"bits": 4
|
| 1815 |
+
},
|
| 1816 |
+
"model.layers.13.mlp.up_proj": {
|
| 1817 |
+
"group_size": 64,
|
| 1818 |
+
"bits": 4
|
| 1819 |
+
},
|
| 1820 |
+
"model.layers.13.input_layernorm": false,
|
| 1821 |
+
"model.layers.13.post_attention_layernorm": false,
|
| 1822 |
+
"model.layers.14.self_attn.q_proj": {
|
| 1823 |
+
"group_size": 64,
|
| 1824 |
+
"bits": 4
|
| 1825 |
+
},
|
| 1826 |
+
"model.layers.14.self_attn.k_proj": {
|
| 1827 |
+
"group_size": 64,
|
| 1828 |
+
"bits": 4
|
| 1829 |
+
},
|
| 1830 |
+
"model.layers.14.self_attn.v_proj": {
|
| 1831 |
+
"group_size": 64,
|
| 1832 |
+
"bits": 4
|
| 1833 |
+
},
|
| 1834 |
+
"model.layers.14.self_attn.o_proj": {
|
| 1835 |
+
"group_size": 64,
|
| 1836 |
+
"bits": 4
|
| 1837 |
+
},
|
| 1838 |
+
"model.layers.14.self_attn.q_norm": false,
|
| 1839 |
+
"model.layers.14.self_attn.k_norm": false,
|
| 1840 |
+
"model.layers.14.self_attn.rope": false,
|
| 1841 |
+
"model.layers.14.mlp.gate_proj": {
|
| 1842 |
+
"group_size": 64,
|
| 1843 |
+
"bits": 4
|
| 1844 |
+
},
|
| 1845 |
+
"model.layers.14.mlp.down_proj": {
|
| 1846 |
+
"group_size": 64,
|
| 1847 |
+
"bits": 4
|
| 1848 |
+
},
|
| 1849 |
+
"model.layers.14.mlp.up_proj": {
|
| 1850 |
+
"group_size": 64,
|
| 1851 |
+
"bits": 4
|
| 1852 |
+
},
|
| 1853 |
+
"model.layers.14.input_layernorm": false,
|
| 1854 |
+
"model.layers.14.post_attention_layernorm": false,
|
| 1855 |
+
"model.layers.15.self_attn.q_proj": {
|
| 1856 |
+
"group_size": 64,
|
| 1857 |
+
"bits": 4
|
| 1858 |
+
},
|
| 1859 |
+
"model.layers.15.self_attn.k_proj": {
|
| 1860 |
+
"group_size": 64,
|
| 1861 |
+
"bits": 4
|
| 1862 |
+
},
|
| 1863 |
+
"model.layers.15.self_attn.v_proj": {
|
| 1864 |
+
"group_size": 64,
|
| 1865 |
+
"bits": 4
|
| 1866 |
+
},
|
| 1867 |
+
"model.layers.15.self_attn.o_proj": {
|
| 1868 |
+
"group_size": 64,
|
| 1869 |
+
"bits": 4
|
| 1870 |
+
},
|
| 1871 |
+
"model.layers.15.self_attn.q_norm": false,
|
| 1872 |
+
"model.layers.15.self_attn.k_norm": false,
|
| 1873 |
+
"model.layers.15.self_attn.rope": false,
|
| 1874 |
+
"model.layers.15.mlp.gate_proj": {
|
| 1875 |
+
"group_size": 64,
|
| 1876 |
+
"bits": 4
|
| 1877 |
+
},
|
| 1878 |
+
"model.layers.15.mlp.down_proj": {
|
| 1879 |
+
"group_size": 64,
|
| 1880 |
+
"bits": 4
|
| 1881 |
+
},
|
| 1882 |
+
"model.layers.15.mlp.up_proj": {
|
| 1883 |
+
"group_size": 64,
|
| 1884 |
+
"bits": 4
|
| 1885 |
+
},
|
| 1886 |
+
"model.layers.15.input_layernorm": false,
|
| 1887 |
+
"model.layers.15.post_attention_layernorm": false,
|
| 1888 |
+
"model.layers.16.self_attn.q_proj": {
|
| 1889 |
+
"group_size": 64,
|
| 1890 |
+
"bits": 4
|
| 1891 |
+
},
|
| 1892 |
+
"model.layers.16.self_attn.k_proj": {
|
| 1893 |
+
"group_size": 64,
|
| 1894 |
+
"bits": 4
|
| 1895 |
+
},
|
| 1896 |
+
"model.layers.16.self_attn.v_proj": {
|
| 1897 |
+
"group_size": 64,
|
| 1898 |
+
"bits": 4
|
| 1899 |
+
},
|
| 1900 |
+
"model.layers.16.self_attn.o_proj": {
|
| 1901 |
+
"group_size": 64,
|
| 1902 |
+
"bits": 4
|
| 1903 |
+
},
|
| 1904 |
+
"model.layers.16.self_attn.q_norm": false,
|
| 1905 |
+
"model.layers.16.self_attn.k_norm": false,
|
| 1906 |
+
"model.layers.16.self_attn.rope": false,
|
| 1907 |
+
"model.layers.16.mlp.gate_proj": {
|
| 1908 |
+
"group_size": 64,
|
| 1909 |
+
"bits": 4
|
| 1910 |
+
},
|
| 1911 |
+
"model.layers.16.mlp.down_proj": {
|
| 1912 |
+
"group_size": 64,
|
| 1913 |
+
"bits": 4
|
| 1914 |
+
},
|
| 1915 |
+
"model.layers.16.mlp.up_proj": {
|
| 1916 |
+
"group_size": 64,
|
| 1917 |
+
"bits": 4
|
| 1918 |
+
},
|
| 1919 |
+
"model.layers.16.input_layernorm": false,
|
| 1920 |
+
"model.layers.16.post_attention_layernorm": false,
|
| 1921 |
+
"model.layers.17.self_attn.q_proj": {
|
| 1922 |
+
"group_size": 64,
|
| 1923 |
+
"bits": 4
|
| 1924 |
+
},
|
| 1925 |
+
"model.layers.17.self_attn.k_proj": {
|
| 1926 |
+
"group_size": 64,
|
| 1927 |
+
"bits": 4
|
| 1928 |
+
},
|
| 1929 |
+
"model.layers.17.self_attn.v_proj": {
|
| 1930 |
+
"group_size": 64,
|
| 1931 |
+
"bits": 4
|
| 1932 |
+
},
|
| 1933 |
+
"model.layers.17.self_attn.o_proj": {
|
| 1934 |
+
"group_size": 64,
|
| 1935 |
+
"bits": 4
|
| 1936 |
+
},
|
| 1937 |
+
"model.layers.17.self_attn.q_norm": false,
|
| 1938 |
+
"model.layers.17.self_attn.k_norm": false,
|
| 1939 |
+
"model.layers.17.self_attn.rope": false,
|
| 1940 |
+
"model.layers.17.mlp.gate_proj": {
|
| 1941 |
+
"group_size": 64,
|
| 1942 |
+
"bits": 4
|
| 1943 |
+
},
|
| 1944 |
+
"model.layers.17.mlp.down_proj": {
|
| 1945 |
+
"group_size": 64,
|
| 1946 |
+
"bits": 4
|
| 1947 |
+
},
|
| 1948 |
+
"model.layers.17.mlp.up_proj": {
|
| 1949 |
+
"group_size": 64,
|
| 1950 |
+
"bits": 4
|
| 1951 |
+
},
|
| 1952 |
+
"model.layers.17.input_layernorm": false,
|
| 1953 |
+
"model.layers.17.post_attention_layernorm": false,
|
| 1954 |
+
"model.layers.18.self_attn.q_proj": {
|
| 1955 |
+
"group_size": 64,
|
| 1956 |
+
"bits": 4
|
| 1957 |
+
},
|
| 1958 |
+
"model.layers.18.self_attn.k_proj": {
|
| 1959 |
+
"group_size": 64,
|
| 1960 |
+
"bits": 4
|
| 1961 |
+
},
|
| 1962 |
+
"model.layers.18.self_attn.v_proj": {
|
| 1963 |
+
"group_size": 64,
|
| 1964 |
+
"bits": 4
|
| 1965 |
+
},
|
| 1966 |
+
"model.layers.18.self_attn.o_proj": {
|
| 1967 |
+
"group_size": 64,
|
| 1968 |
+
"bits": 4
|
| 1969 |
+
},
|
| 1970 |
+
"model.layers.18.self_attn.q_norm": false,
|
| 1971 |
+
"model.layers.18.self_attn.k_norm": false,
|
| 1972 |
+
"model.layers.18.self_attn.rope": false,
|
| 1973 |
+
"model.layers.18.mlp.gate_proj": {
|
| 1974 |
+
"group_size": 64,
|
| 1975 |
+
"bits": 4
|
| 1976 |
+
},
|
| 1977 |
+
"model.layers.18.mlp.down_proj": {
|
| 1978 |
+
"group_size": 64,
|
| 1979 |
+
"bits": 4
|
| 1980 |
+
},
|
| 1981 |
+
"model.layers.18.mlp.up_proj": {
|
| 1982 |
+
"group_size": 64,
|
| 1983 |
+
"bits": 4
|
| 1984 |
+
},
|
| 1985 |
+
"model.layers.18.input_layernorm": false,
|
| 1986 |
+
"model.layers.18.post_attention_layernorm": false,
|
| 1987 |
+
"model.layers.19.self_attn.q_proj": {
|
| 1988 |
+
"group_size": 64,
|
| 1989 |
+
"bits": 4
|
| 1990 |
+
},
|
| 1991 |
+
"model.layers.19.self_attn.k_proj": {
|
| 1992 |
+
"group_size": 64,
|
| 1993 |
+
"bits": 4
|
| 1994 |
+
},
|
| 1995 |
+
"model.layers.19.self_attn.v_proj": {
|
| 1996 |
+
"group_size": 64,
|
| 1997 |
+
"bits": 4
|
| 1998 |
+
},
|
| 1999 |
+
"model.layers.19.self_attn.o_proj": {
|
| 2000 |
+
"group_size": 64,
|
| 2001 |
+
"bits": 4
|
| 2002 |
+
},
|
| 2003 |
+
"model.layers.19.self_attn.q_norm": false,
|
| 2004 |
+
"model.layers.19.self_attn.k_norm": false,
|
| 2005 |
+
"model.layers.19.self_attn.rope": false,
|
| 2006 |
+
"model.layers.19.mlp.gate_proj": {
|
| 2007 |
+
"group_size": 64,
|
| 2008 |
+
"bits": 4
|
| 2009 |
+
},
|
| 2010 |
+
"model.layers.19.mlp.down_proj": {
|
| 2011 |
+
"group_size": 64,
|
| 2012 |
+
"bits": 4
|
| 2013 |
+
},
|
| 2014 |
+
"model.layers.19.mlp.up_proj": {
|
| 2015 |
+
"group_size": 64,
|
| 2016 |
+
"bits": 4
|
| 2017 |
+
},
|
| 2018 |
+
"model.layers.19.input_layernorm": false,
|
| 2019 |
+
"model.layers.19.post_attention_layernorm": false,
|
| 2020 |
+
"model.layers.20.self_attn.q_proj": {
|
| 2021 |
+
"group_size": 64,
|
| 2022 |
+
"bits": 4
|
| 2023 |
+
},
|
| 2024 |
+
"model.layers.20.self_attn.k_proj": {
|
| 2025 |
+
"group_size": 64,
|
| 2026 |
+
"bits": 4
|
| 2027 |
+
},
|
| 2028 |
+
"model.layers.20.self_attn.v_proj": {
|
| 2029 |
+
"group_size": 64,
|
| 2030 |
+
"bits": 4
|
| 2031 |
+
},
|
| 2032 |
+
"model.layers.20.self_attn.o_proj": {
|
| 2033 |
+
"group_size": 64,
|
| 2034 |
+
"bits": 4
|
| 2035 |
+
},
|
| 2036 |
+
"model.layers.20.self_attn.q_norm": false,
|
| 2037 |
+
"model.layers.20.self_attn.k_norm": false,
|
| 2038 |
+
"model.layers.20.self_attn.rope": false,
|
| 2039 |
+
"model.layers.20.mlp.gate_proj": {
|
| 2040 |
+
"group_size": 64,
|
| 2041 |
+
"bits": 4
|
| 2042 |
+
},
|
| 2043 |
+
"model.layers.20.mlp.down_proj": {
|
| 2044 |
+
"group_size": 64,
|
| 2045 |
+
"bits": 4
|
| 2046 |
+
},
|
| 2047 |
+
"model.layers.20.mlp.up_proj": {
|
| 2048 |
+
"group_size": 64,
|
| 2049 |
+
"bits": 4
|
| 2050 |
+
},
|
| 2051 |
+
"model.layers.20.input_layernorm": false,
|
| 2052 |
+
"model.layers.20.post_attention_layernorm": false,
|
| 2053 |
+
"model.layers.21.self_attn.q_proj": {
|
| 2054 |
+
"group_size": 64,
|
| 2055 |
+
"bits": 4
|
| 2056 |
+
},
|
| 2057 |
+
"model.layers.21.self_attn.k_proj": {
|
| 2058 |
+
"group_size": 64,
|
| 2059 |
+
"bits": 4
|
| 2060 |
+
},
|
| 2061 |
+
"model.layers.21.self_attn.v_proj": {
|
| 2062 |
+
"group_size": 64,
|
| 2063 |
+
"bits": 4
|
| 2064 |
+
},
|
| 2065 |
+
"model.layers.21.self_attn.o_proj": {
|
| 2066 |
+
"group_size": 64,
|
| 2067 |
+
"bits": 4
|
| 2068 |
+
},
|
| 2069 |
+
"model.layers.21.self_attn.q_norm": false,
|
| 2070 |
+
"model.layers.21.self_attn.k_norm": false,
|
| 2071 |
+
"model.layers.21.self_attn.rope": false,
|
| 2072 |
+
"model.layers.21.mlp.gate_proj": {
|
| 2073 |
+
"group_size": 64,
|
| 2074 |
+
"bits": 4
|
| 2075 |
+
},
|
| 2076 |
+
"model.layers.21.mlp.down_proj": {
|
| 2077 |
+
"group_size": 64,
|
| 2078 |
+
"bits": 4
|
| 2079 |
+
},
|
| 2080 |
+
"model.layers.21.mlp.up_proj": {
|
| 2081 |
+
"group_size": 64,
|
| 2082 |
+
"bits": 4
|
| 2083 |
+
},
|
| 2084 |
+
"model.layers.21.input_layernorm": false,
|
| 2085 |
+
"model.layers.21.post_attention_layernorm": false,
|
| 2086 |
+
"model.layers.22.self_attn.q_proj": {
|
| 2087 |
+
"group_size": 64,
|
| 2088 |
+
"bits": 4
|
| 2089 |
+
},
|
| 2090 |
+
"model.layers.22.self_attn.k_proj": {
|
| 2091 |
+
"group_size": 64,
|
| 2092 |
+
"bits": 4
|
| 2093 |
+
},
|
| 2094 |
+
"model.layers.22.self_attn.v_proj": {
|
| 2095 |
+
"group_size": 64,
|
| 2096 |
+
"bits": 4
|
| 2097 |
+
},
|
| 2098 |
+
"model.layers.22.self_attn.o_proj": {
|
| 2099 |
+
"group_size": 64,
|
| 2100 |
+
"bits": 4
|
| 2101 |
+
},
|
| 2102 |
+
"model.layers.22.self_attn.q_norm": false,
|
| 2103 |
+
"model.layers.22.self_attn.k_norm": false,
|
| 2104 |
+
"model.layers.22.self_attn.rope": false,
|
| 2105 |
+
"model.layers.22.mlp.gate_proj": {
|
| 2106 |
+
"group_size": 64,
|
| 2107 |
+
"bits": 4
|
| 2108 |
+
},
|
| 2109 |
+
"model.layers.22.mlp.down_proj": {
|
| 2110 |
+
"group_size": 64,
|
| 2111 |
+
"bits": 4
|
| 2112 |
+
},
|
| 2113 |
+
"model.layers.22.mlp.up_proj": {
|
| 2114 |
+
"group_size": 64,
|
| 2115 |
+
"bits": 4
|
| 2116 |
+
},
|
| 2117 |
+
"model.layers.22.input_layernorm": false,
|
| 2118 |
+
"model.layers.22.post_attention_layernorm": false,
|
| 2119 |
+
"model.layers.23.self_attn.q_proj": {
|
| 2120 |
+
"group_size": 64,
|
| 2121 |
+
"bits": 4
|
| 2122 |
+
},
|
| 2123 |
+
"model.layers.23.self_attn.k_proj": {
|
| 2124 |
+
"group_size": 64,
|
| 2125 |
+
"bits": 4
|
| 2126 |
+
},
|
| 2127 |
+
"model.layers.23.self_attn.v_proj": {
|
| 2128 |
+
"group_size": 64,
|
| 2129 |
+
"bits": 4
|
| 2130 |
+
},
|
| 2131 |
+
"model.layers.23.self_attn.o_proj": {
|
| 2132 |
+
"group_size": 64,
|
| 2133 |
+
"bits": 4
|
| 2134 |
+
},
|
| 2135 |
+
"model.layers.23.self_attn.q_norm": false,
|
| 2136 |
+
"model.layers.23.self_attn.k_norm": false,
|
| 2137 |
+
"model.layers.23.self_attn.rope": false,
|
| 2138 |
+
"model.layers.23.mlp.gate_proj": {
|
| 2139 |
+
"group_size": 64,
|
| 2140 |
+
"bits": 4
|
| 2141 |
+
},
|
| 2142 |
+
"model.layers.23.mlp.down_proj": {
|
| 2143 |
+
"group_size": 64,
|
| 2144 |
+
"bits": 4
|
| 2145 |
+
},
|
| 2146 |
+
"model.layers.23.mlp.up_proj": {
|
| 2147 |
+
"group_size": 64,
|
| 2148 |
+
"bits": 4
|
| 2149 |
+
},
|
| 2150 |
+
"model.layers.23.input_layernorm": false,
|
| 2151 |
+
"model.layers.23.post_attention_layernorm": false,
|
| 2152 |
+
"model.layers.24.self_attn.q_proj": {
|
| 2153 |
+
"group_size": 64,
|
| 2154 |
+
"bits": 4
|
| 2155 |
+
},
|
| 2156 |
+
"model.layers.24.self_attn.k_proj": {
|
| 2157 |
+
"group_size": 64,
|
| 2158 |
+
"bits": 4
|
| 2159 |
+
},
|
| 2160 |
+
"model.layers.24.self_attn.v_proj": {
|
| 2161 |
+
"group_size": 64,
|
| 2162 |
+
"bits": 4
|
| 2163 |
+
},
|
| 2164 |
+
"model.layers.24.self_attn.o_proj": {
|
| 2165 |
+
"group_size": 64,
|
| 2166 |
+
"bits": 4
|
| 2167 |
+
},
|
| 2168 |
+
"model.layers.24.self_attn.q_norm": false,
|
| 2169 |
+
"model.layers.24.self_attn.k_norm": false,
|
| 2170 |
+
"model.layers.24.self_attn.rope": false,
|
| 2171 |
+
"model.layers.24.mlp.gate_proj": {
|
| 2172 |
+
"group_size": 64,
|
| 2173 |
+
"bits": 4
|
| 2174 |
+
},
|
| 2175 |
+
"model.layers.24.mlp.down_proj": {
|
| 2176 |
+
"group_size": 64,
|
| 2177 |
+
"bits": 4
|
| 2178 |
+
},
|
| 2179 |
+
"model.layers.24.mlp.up_proj": {
|
| 2180 |
+
"group_size": 64,
|
| 2181 |
+
"bits": 4
|
| 2182 |
+
},
|
| 2183 |
+
"model.layers.24.input_layernorm": false,
|
| 2184 |
+
"model.layers.24.post_attention_layernorm": false,
|
| 2185 |
+
"model.layers.25.self_attn.q_proj": {
|
| 2186 |
+
"group_size": 64,
|
| 2187 |
+
"bits": 4
|
| 2188 |
+
},
|
| 2189 |
+
"model.layers.25.self_attn.k_proj": {
|
| 2190 |
+
"group_size": 64,
|
| 2191 |
+
"bits": 4
|
| 2192 |
+
},
|
| 2193 |
+
"model.layers.25.self_attn.v_proj": {
|
| 2194 |
+
"group_size": 64,
|
| 2195 |
+
"bits": 4
|
| 2196 |
+
},
|
| 2197 |
+
"model.layers.25.self_attn.o_proj": {
|
| 2198 |
+
"group_size": 64,
|
| 2199 |
+
"bits": 4
|
| 2200 |
+
},
|
| 2201 |
+
"model.layers.25.self_attn.q_norm": false,
|
| 2202 |
+
"model.layers.25.self_attn.k_norm": false,
|
| 2203 |
+
"model.layers.25.self_attn.rope": false,
|
| 2204 |
+
"model.layers.25.mlp.gate_proj": {
|
| 2205 |
+
"group_size": 64,
|
| 2206 |
+
"bits": 4
|
| 2207 |
+
},
|
| 2208 |
+
"model.layers.25.mlp.down_proj": {
|
| 2209 |
+
"group_size": 64,
|
| 2210 |
+
"bits": 4
|
| 2211 |
+
},
|
| 2212 |
+
"model.layers.25.mlp.up_proj": {
|
| 2213 |
+
"group_size": 64,
|
| 2214 |
+
"bits": 4
|
| 2215 |
+
},
|
| 2216 |
+
"model.layers.25.input_layernorm": false,
|
| 2217 |
+
"model.layers.25.post_attention_layernorm": false,
|
| 2218 |
+
"model.layers.26.self_attn.q_proj": {
|
| 2219 |
+
"group_size": 64,
|
| 2220 |
+
"bits": 4
|
| 2221 |
+
},
|
| 2222 |
+
"model.layers.26.self_attn.k_proj": {
|
| 2223 |
+
"group_size": 64,
|
| 2224 |
+
"bits": 4
|
| 2225 |
+
},
|
| 2226 |
+
"model.layers.26.self_attn.v_proj": {
|
| 2227 |
+
"group_size": 64,
|
| 2228 |
+
"bits": 4
|
| 2229 |
+
},
|
| 2230 |
+
"model.layers.26.self_attn.o_proj": {
|
| 2231 |
+
"group_size": 64,
|
| 2232 |
+
"bits": 4
|
| 2233 |
+
},
|
| 2234 |
+
"model.layers.26.self_attn.q_norm": false,
|
| 2235 |
+
"model.layers.26.self_attn.k_norm": false,
|
| 2236 |
+
"model.layers.26.self_attn.rope": false,
|
| 2237 |
+
"model.layers.26.mlp.gate_proj": {
|
| 2238 |
+
"group_size": 64,
|
| 2239 |
+
"bits": 4
|
| 2240 |
+
},
|
| 2241 |
+
"model.layers.26.mlp.down_proj": {
|
| 2242 |
+
"group_size": 64,
|
| 2243 |
+
"bits": 4
|
| 2244 |
+
},
|
| 2245 |
+
"model.layers.26.mlp.up_proj": {
|
| 2246 |
+
"group_size": 64,
|
| 2247 |
+
"bits": 4
|
| 2248 |
+
},
|
| 2249 |
+
"model.layers.26.input_layernorm": false,
|
| 2250 |
+
"model.layers.26.post_attention_layernorm": false,
|
| 2251 |
+
"model.layers.27.self_attn.q_proj": {
|
| 2252 |
+
"group_size": 64,
|
| 2253 |
+
"bits": 4
|
| 2254 |
+
},
|
| 2255 |
+
"model.layers.27.self_attn.k_proj": {
|
| 2256 |
+
"group_size": 64,
|
| 2257 |
+
"bits": 4
|
| 2258 |
+
},
|
| 2259 |
+
"model.layers.27.self_attn.v_proj": {
|
| 2260 |
+
"group_size": 64,
|
| 2261 |
+
"bits": 4
|
| 2262 |
+
},
|
| 2263 |
+
"model.layers.27.self_attn.o_proj": {
|
| 2264 |
+
"group_size": 64,
|
| 2265 |
+
"bits": 4
|
| 2266 |
+
},
|
| 2267 |
+
"model.layers.27.self_attn.q_norm": false,
|
| 2268 |
+
"model.layers.27.self_attn.k_norm": false,
|
| 2269 |
+
"model.layers.27.self_attn.rope": false,
|
| 2270 |
+
"model.layers.27.mlp.gate_proj": {
|
| 2271 |
+
"group_size": 64,
|
| 2272 |
+
"bits": 4
|
| 2273 |
+
},
|
| 2274 |
+
"model.layers.27.mlp.down_proj": {
|
| 2275 |
+
"group_size": 64,
|
| 2276 |
+
"bits": 4
|
| 2277 |
+
},
|
| 2278 |
+
"model.layers.27.mlp.up_proj": {
|
| 2279 |
+
"group_size": 64,
|
| 2280 |
+
"bits": 4
|
| 2281 |
+
},
|
| 2282 |
+
"model.layers.27.input_layernorm": false,
|
| 2283 |
+
"model.layers.27.post_attention_layernorm": false,
|
| 2284 |
+
"model.layers.28.self_attn.q_proj": {
|
| 2285 |
+
"group_size": 64,
|
| 2286 |
+
"bits": 4
|
| 2287 |
+
},
|
| 2288 |
+
"model.layers.28.self_attn.k_proj": {
|
| 2289 |
+
"group_size": 64,
|
| 2290 |
+
"bits": 4
|
| 2291 |
+
},
|
| 2292 |
+
"model.layers.28.self_attn.v_proj": {
|
| 2293 |
+
"group_size": 64,
|
| 2294 |
+
"bits": 4
|
| 2295 |
+
},
|
| 2296 |
+
"model.layers.28.self_attn.o_proj": {
|
| 2297 |
+
"group_size": 64,
|
| 2298 |
+
"bits": 4
|
| 2299 |
+
},
|
| 2300 |
+
"model.layers.28.self_attn.q_norm": false,
|
| 2301 |
+
"model.layers.28.self_attn.k_norm": false,
|
| 2302 |
+
"model.layers.28.self_attn.rope": false,
|
| 2303 |
+
"model.layers.28.mlp.gate_proj": {
|
| 2304 |
+
"group_size": 64,
|
| 2305 |
+
"bits": 4
|
| 2306 |
+
},
|
| 2307 |
+
"model.layers.28.mlp.down_proj": {
|
| 2308 |
+
"group_size": 64,
|
| 2309 |
+
"bits": 4
|
| 2310 |
+
},
|
| 2311 |
+
"model.layers.28.mlp.up_proj": {
|
| 2312 |
+
"group_size": 64,
|
| 2313 |
+
"bits": 4
|
| 2314 |
+
},
|
| 2315 |
+
"model.layers.28.input_layernorm": false,
|
| 2316 |
+
"model.layers.28.post_attention_layernorm": false,
|
| 2317 |
+
"model.layers.29.self_attn.q_proj": {
|
| 2318 |
+
"group_size": 64,
|
| 2319 |
+
"bits": 4
|
| 2320 |
+
},
|
| 2321 |
+
"model.layers.29.self_attn.k_proj": {
|
| 2322 |
+
"group_size": 64,
|
| 2323 |
+
"bits": 4
|
| 2324 |
+
},
|
| 2325 |
+
"model.layers.29.self_attn.v_proj": {
|
| 2326 |
+
"group_size": 64,
|
| 2327 |
+
"bits": 4
|
| 2328 |
+
},
|
| 2329 |
+
"model.layers.29.self_attn.o_proj": {
|
| 2330 |
+
"group_size": 64,
|
| 2331 |
+
"bits": 4
|
| 2332 |
+
},
|
| 2333 |
+
"model.layers.29.self_attn.q_norm": false,
|
| 2334 |
+
"model.layers.29.self_attn.k_norm": false,
|
| 2335 |
+
"model.layers.29.self_attn.rope": false,
|
| 2336 |
+
"model.layers.29.mlp.gate_proj": {
|
| 2337 |
+
"group_size": 64,
|
| 2338 |
+
"bits": 4
|
| 2339 |
+
},
|
| 2340 |
+
"model.layers.29.mlp.down_proj": {
|
| 2341 |
+
"group_size": 64,
|
| 2342 |
+
"bits": 4
|
| 2343 |
+
},
|
| 2344 |
+
"model.layers.29.mlp.up_proj": {
|
| 2345 |
+
"group_size": 64,
|
| 2346 |
+
"bits": 4
|
| 2347 |
+
},
|
| 2348 |
+
"model.layers.29.input_layernorm": false,
|
| 2349 |
+
"model.layers.29.post_attention_layernorm": false,
|
| 2350 |
+
"model.layers.30.self_attn.q_proj": {
|
| 2351 |
+
"group_size": 64,
|
| 2352 |
+
"bits": 4
|
| 2353 |
+
},
|
| 2354 |
+
"model.layers.30.self_attn.k_proj": {
|
| 2355 |
+
"group_size": 64,
|
| 2356 |
+
"bits": 4
|
| 2357 |
+
},
|
| 2358 |
+
"model.layers.30.self_attn.v_proj": {
|
| 2359 |
+
"group_size": 64,
|
| 2360 |
+
"bits": 4
|
| 2361 |
+
},
|
| 2362 |
+
"model.layers.30.self_attn.o_proj": {
|
| 2363 |
+
"group_size": 64,
|
| 2364 |
+
"bits": 4
|
| 2365 |
+
},
|
| 2366 |
+
"model.layers.30.self_attn.q_norm": false,
|
| 2367 |
+
"model.layers.30.self_attn.k_norm": false,
|
| 2368 |
+
"model.layers.30.self_attn.rope": false,
|
| 2369 |
+
"model.layers.30.mlp.gate_proj": {
|
| 2370 |
+
"group_size": 64,
|
| 2371 |
+
"bits": 4
|
| 2372 |
+
},
|
| 2373 |
+
"model.layers.30.mlp.down_proj": {
|
| 2374 |
+
"group_size": 64,
|
| 2375 |
+
"bits": 4
|
| 2376 |
+
},
|
| 2377 |
+
"model.layers.30.mlp.up_proj": {
|
| 2378 |
+
"group_size": 64,
|
| 2379 |
+
"bits": 4
|
| 2380 |
+
},
|
| 2381 |
+
"model.layers.30.input_layernorm": false,
|
| 2382 |
+
"model.layers.30.post_attention_layernorm": false,
|
| 2383 |
+
"model.layers.31.self_attn.q_proj": {
|
| 2384 |
+
"group_size": 64,
|
| 2385 |
+
"bits": 4
|
| 2386 |
+
},
|
| 2387 |
+
"model.layers.31.self_attn.k_proj": {
|
| 2388 |
+
"group_size": 64,
|
| 2389 |
+
"bits": 4
|
| 2390 |
+
},
|
| 2391 |
+
"model.layers.31.self_attn.v_proj": {
|
| 2392 |
+
"group_size": 64,
|
| 2393 |
+
"bits": 4
|
| 2394 |
+
},
|
| 2395 |
+
"model.layers.31.self_attn.o_proj": {
|
| 2396 |
+
"group_size": 64,
|
| 2397 |
+
"bits": 4
|
| 2398 |
+
},
|
| 2399 |
+
"model.layers.31.self_attn.q_norm": false,
|
| 2400 |
+
"model.layers.31.self_attn.k_norm": false,
|
| 2401 |
+
"model.layers.31.self_attn.rope": false,
|
| 2402 |
+
"model.layers.31.mlp.gate_proj": {
|
| 2403 |
+
"group_size": 64,
|
| 2404 |
+
"bits": 4
|
| 2405 |
+
},
|
| 2406 |
+
"model.layers.31.mlp.down_proj": {
|
| 2407 |
+
"group_size": 64,
|
| 2408 |
+
"bits": 4
|
| 2409 |
+
},
|
| 2410 |
+
"model.layers.31.mlp.up_proj": {
|
| 2411 |
+
"group_size": 64,
|
| 2412 |
+
"bits": 4
|
| 2413 |
+
},
|
| 2414 |
+
"model.layers.31.input_layernorm": false,
|
| 2415 |
+
"model.layers.31.post_attention_layernorm": false,
|
| 2416 |
+
"model.layers.32.self_attn.q_proj": {
|
| 2417 |
+
"group_size": 64,
|
| 2418 |
+
"bits": 4
|
| 2419 |
+
},
|
| 2420 |
+
"model.layers.32.self_attn.k_proj": {
|
| 2421 |
+
"group_size": 64,
|
| 2422 |
+
"bits": 4
|
| 2423 |
+
},
|
| 2424 |
+
"model.layers.32.self_attn.v_proj": {
|
| 2425 |
+
"group_size": 64,
|
| 2426 |
+
"bits": 4
|
| 2427 |
+
},
|
| 2428 |
+
"model.layers.32.self_attn.o_proj": {
|
| 2429 |
+
"group_size": 64,
|
| 2430 |
+
"bits": 4
|
| 2431 |
+
},
|
| 2432 |
+
"model.layers.32.self_attn.q_norm": false,
|
| 2433 |
+
"model.layers.32.self_attn.k_norm": false,
|
| 2434 |
+
"model.layers.32.self_attn.rope": false,
|
| 2435 |
+
"model.layers.32.mlp.gate_proj": {
|
| 2436 |
+
"group_size": 64,
|
| 2437 |
+
"bits": 4
|
| 2438 |
+
},
|
| 2439 |
+
"model.layers.32.mlp.down_proj": {
|
| 2440 |
+
"group_size": 64,
|
| 2441 |
+
"bits": 4
|
| 2442 |
+
},
|
| 2443 |
+
"model.layers.32.mlp.up_proj": {
|
| 2444 |
+
"group_size": 64,
|
| 2445 |
+
"bits": 4
|
| 2446 |
+
},
|
| 2447 |
+
"model.layers.32.input_layernorm": false,
|
| 2448 |
+
"model.layers.32.post_attention_layernorm": false,
|
| 2449 |
+
"model.layers.33.self_attn.q_proj": {
|
| 2450 |
+
"group_size": 64,
|
| 2451 |
+
"bits": 4
|
| 2452 |
+
},
|
| 2453 |
+
"model.layers.33.self_attn.k_proj": {
|
| 2454 |
+
"group_size": 64,
|
| 2455 |
+
"bits": 4
|
| 2456 |
+
},
|
| 2457 |
+
"model.layers.33.self_attn.v_proj": {
|
| 2458 |
+
"group_size": 64,
|
| 2459 |
+
"bits": 4
|
| 2460 |
+
},
|
| 2461 |
+
"model.layers.33.self_attn.o_proj": {
|
| 2462 |
+
"group_size": 64,
|
| 2463 |
+
"bits": 4
|
| 2464 |
+
},
|
| 2465 |
+
"model.layers.33.self_attn.q_norm": false,
|
| 2466 |
+
"model.layers.33.self_attn.k_norm": false,
|
| 2467 |
+
"model.layers.33.self_attn.rope": false,
|
| 2468 |
+
"model.layers.33.mlp.gate_proj": {
|
| 2469 |
+
"group_size": 64,
|
| 2470 |
+
"bits": 4
|
| 2471 |
+
},
|
| 2472 |
+
"model.layers.33.mlp.down_proj": {
|
| 2473 |
+
"group_size": 64,
|
| 2474 |
+
"bits": 4
|
| 2475 |
+
},
|
| 2476 |
+
"model.layers.33.mlp.up_proj": {
|
| 2477 |
+
"group_size": 64,
|
| 2478 |
+
"bits": 4
|
| 2479 |
+
},
|
| 2480 |
+
"model.layers.33.input_layernorm": false,
|
| 2481 |
+
"model.layers.33.post_attention_layernorm": false,
|
| 2482 |
+
"model.layers.34.self_attn.q_proj": {
|
| 2483 |
+
"group_size": 64,
|
| 2484 |
+
"bits": 4
|
| 2485 |
+
},
|
| 2486 |
+
"model.layers.34.self_attn.k_proj": {
|
| 2487 |
+
"group_size": 64,
|
| 2488 |
+
"bits": 4
|
| 2489 |
+
},
|
| 2490 |
+
"model.layers.34.self_attn.v_proj": {
|
| 2491 |
+
"group_size": 64,
|
| 2492 |
+
"bits": 4
|
| 2493 |
+
},
|
| 2494 |
+
"model.layers.34.self_attn.o_proj": {
|
| 2495 |
+
"group_size": 64,
|
| 2496 |
+
"bits": 4
|
| 2497 |
+
},
|
| 2498 |
+
"model.layers.34.self_attn.q_norm": false,
|
| 2499 |
+
"model.layers.34.self_attn.k_norm": false,
|
| 2500 |
+
"model.layers.34.self_attn.rope": false,
|
| 2501 |
+
"model.layers.34.mlp.gate_proj": {
|
| 2502 |
+
"group_size": 64,
|
| 2503 |
+
"bits": 4
|
| 2504 |
+
},
|
| 2505 |
+
"model.layers.34.mlp.down_proj": {
|
| 2506 |
+
"group_size": 64,
|
| 2507 |
+
"bits": 4
|
| 2508 |
+
},
|
| 2509 |
+
"model.layers.34.mlp.up_proj": {
|
| 2510 |
+
"group_size": 64,
|
| 2511 |
+
"bits": 4
|
| 2512 |
+
},
|
| 2513 |
+
"model.layers.34.input_layernorm": false,
|
| 2514 |
+
"model.layers.34.post_attention_layernorm": false,
|
| 2515 |
+
"model.layers.35.self_attn.q_proj": {
|
| 2516 |
+
"group_size": 64,
|
| 2517 |
+
"bits": 4
|
| 2518 |
+
},
|
| 2519 |
+
"model.layers.35.self_attn.k_proj": {
|
| 2520 |
+
"group_size": 64,
|
| 2521 |
+
"bits": 4
|
| 2522 |
+
},
|
| 2523 |
+
"model.layers.35.self_attn.v_proj": {
|
| 2524 |
+
"group_size": 64,
|
| 2525 |
+
"bits": 4
|
| 2526 |
+
},
|
| 2527 |
+
"model.layers.35.self_attn.o_proj": {
|
| 2528 |
+
"group_size": 64,
|
| 2529 |
+
"bits": 4
|
| 2530 |
+
},
|
| 2531 |
+
"model.layers.35.self_attn.q_norm": false,
|
| 2532 |
+
"model.layers.35.self_attn.k_norm": false,
|
| 2533 |
+
"model.layers.35.self_attn.rope": false,
|
| 2534 |
+
"model.layers.35.mlp.gate_proj": {
|
| 2535 |
+
"group_size": 64,
|
| 2536 |
+
"bits": 4
|
| 2537 |
+
},
|
| 2538 |
+
"model.layers.35.mlp.down_proj": {
|
| 2539 |
+
"group_size": 64,
|
| 2540 |
+
"bits": 4
|
| 2541 |
+
},
|
| 2542 |
+
"model.layers.35.mlp.up_proj": {
|
| 2543 |
+
"group_size": 64,
|
| 2544 |
+
"bits": 4
|
| 2545 |
+
},
|
| 2546 |
+
"model.layers.35.input_layernorm": false,
|
| 2547 |
+
"model.layers.35.post_attention_layernorm": false,
|
| 2548 |
+
"model.layers.36.self_attn.q_proj": {
|
| 2549 |
+
"group_size": 64,
|
| 2550 |
+
"bits": 4
|
| 2551 |
+
},
|
| 2552 |
+
"model.layers.36.self_attn.k_proj": {
|
| 2553 |
+
"group_size": 64,
|
| 2554 |
+
"bits": 4
|
| 2555 |
+
},
|
| 2556 |
+
"model.layers.36.self_attn.v_proj": {
|
| 2557 |
+
"group_size": 64,
|
| 2558 |
+
"bits": 4
|
| 2559 |
+
},
|
| 2560 |
+
"model.layers.36.self_attn.o_proj": {
|
| 2561 |
+
"group_size": 64,
|
| 2562 |
+
"bits": 4
|
| 2563 |
+
},
|
| 2564 |
+
"model.layers.36.self_attn.q_norm": false,
|
| 2565 |
+
"model.layers.36.self_attn.k_norm": false,
|
| 2566 |
+
"model.layers.36.self_attn.rope": false,
|
| 2567 |
+
"model.layers.36.mlp.gate_proj": {
|
| 2568 |
+
"group_size": 64,
|
| 2569 |
+
"bits": 4
|
| 2570 |
+
},
|
| 2571 |
+
"model.layers.36.mlp.down_proj": {
|
| 2572 |
+
"group_size": 64,
|
| 2573 |
+
"bits": 4
|
| 2574 |
+
},
|
| 2575 |
+
"model.layers.36.mlp.up_proj": {
|
| 2576 |
+
"group_size": 64,
|
| 2577 |
+
"bits": 4
|
| 2578 |
+
},
|
| 2579 |
+
"model.layers.36.input_layernorm": false,
|
| 2580 |
+
"model.layers.36.post_attention_layernorm": false,
|
| 2581 |
+
"model.layers.37.self_attn.q_proj": {
|
| 2582 |
+
"group_size": 64,
|
| 2583 |
+
"bits": 4
|
| 2584 |
+
},
|
| 2585 |
+
"model.layers.37.self_attn.k_proj": {
|
| 2586 |
+
"group_size": 64,
|
| 2587 |
+
"bits": 4
|
| 2588 |
+
},
|
| 2589 |
+
"model.layers.37.self_attn.v_proj": {
|
| 2590 |
+
"group_size": 64,
|
| 2591 |
+
"bits": 4
|
| 2592 |
+
},
|
| 2593 |
+
"model.layers.37.self_attn.o_proj": {
|
| 2594 |
+
"group_size": 64,
|
| 2595 |
+
"bits": 4
|
| 2596 |
+
},
|
| 2597 |
+
"model.layers.37.self_attn.q_norm": false,
|
| 2598 |
+
"model.layers.37.self_attn.k_norm": false,
|
| 2599 |
+
"model.layers.37.self_attn.rope": false,
|
| 2600 |
+
"model.layers.37.mlp.gate_proj": {
|
| 2601 |
+
"group_size": 64,
|
| 2602 |
+
"bits": 4
|
| 2603 |
+
},
|
| 2604 |
+
"model.layers.37.mlp.down_proj": {
|
| 2605 |
+
"group_size": 64,
|
| 2606 |
+
"bits": 4
|
| 2607 |
+
},
|
| 2608 |
+
"model.layers.37.mlp.up_proj": {
|
| 2609 |
+
"group_size": 64,
|
| 2610 |
+
"bits": 4
|
| 2611 |
+
},
|
| 2612 |
+
"model.layers.37.input_layernorm": false,
|
| 2613 |
+
"model.layers.37.post_attention_layernorm": false,
|
| 2614 |
+
"model.layers.38.self_attn.q_proj": {
|
| 2615 |
+
"group_size": 64,
|
| 2616 |
+
"bits": 4
|
| 2617 |
+
},
|
| 2618 |
+
"model.layers.38.self_attn.k_proj": {
|
| 2619 |
+
"group_size": 64,
|
| 2620 |
+
"bits": 4
|
| 2621 |
+
},
|
| 2622 |
+
"model.layers.38.self_attn.v_proj": {
|
| 2623 |
+
"group_size": 64,
|
| 2624 |
+
"bits": 4
|
| 2625 |
+
},
|
| 2626 |
+
"model.layers.38.self_attn.o_proj": {
|
| 2627 |
+
"group_size": 64,
|
| 2628 |
+
"bits": 4
|
| 2629 |
+
},
|
| 2630 |
+
"model.layers.38.self_attn.q_norm": false,
|
| 2631 |
+
"model.layers.38.self_attn.k_norm": false,
|
| 2632 |
+
"model.layers.38.self_attn.rope": false,
|
| 2633 |
+
"model.layers.38.mlp.gate_proj": {
|
| 2634 |
+
"group_size": 64,
|
| 2635 |
+
"bits": 4
|
| 2636 |
+
},
|
| 2637 |
+
"model.layers.38.mlp.down_proj": {
|
| 2638 |
+
"group_size": 64,
|
| 2639 |
+
"bits": 4
|
| 2640 |
+
},
|
| 2641 |
+
"model.layers.38.mlp.up_proj": {
|
| 2642 |
+
"group_size": 64,
|
| 2643 |
+
"bits": 4
|
| 2644 |
+
},
|
| 2645 |
+
"model.layers.38.input_layernorm": false,
|
| 2646 |
+
"model.layers.38.post_attention_layernorm": false,
|
| 2647 |
+
"model.layers.39.self_attn.q_proj": {
|
| 2648 |
+
"group_size": 64,
|
| 2649 |
+
"bits": 4
|
| 2650 |
+
},
|
| 2651 |
+
"model.layers.39.self_attn.k_proj": {
|
| 2652 |
+
"group_size": 64,
|
| 2653 |
+
"bits": 4
|
| 2654 |
+
},
|
| 2655 |
+
"model.layers.39.self_attn.v_proj": {
|
| 2656 |
+
"group_size": 64,
|
| 2657 |
+
"bits": 4
|
| 2658 |
+
},
|
| 2659 |
+
"model.layers.39.self_attn.o_proj": {
|
| 2660 |
+
"group_size": 64,
|
| 2661 |
+
"bits": 4
|
| 2662 |
+
},
|
| 2663 |
+
"model.layers.39.self_attn.q_norm": false,
|
| 2664 |
+
"model.layers.39.self_attn.k_norm": false,
|
| 2665 |
+
"model.layers.39.self_attn.rope": false,
|
| 2666 |
+
"model.layers.39.mlp.gate_proj": {
|
| 2667 |
+
"group_size": 64,
|
| 2668 |
+
"bits": 4
|
| 2669 |
+
},
|
| 2670 |
+
"model.layers.39.mlp.down_proj": {
|
| 2671 |
+
"group_size": 64,
|
| 2672 |
+
"bits": 4
|
| 2673 |
+
},
|
| 2674 |
+
"model.layers.39.mlp.up_proj": {
|
| 2675 |
+
"group_size": 64,
|
| 2676 |
+
"bits": 4
|
| 2677 |
+
},
|
| 2678 |
+
"model.layers.39.input_layernorm": false,
|
| 2679 |
+
"model.layers.39.post_attention_layernorm": false,
|
| 2680 |
+
"model.norm": false,
|
| 2681 |
+
"lm_head": {
|
| 2682 |
+
"group_size": 32,
|
| 2683 |
+
"bits": 4
|
| 2684 |
+
}
|
| 2685 |
+
},
|
| 2686 |
"rms_norm_eps": 1e-06,
|
| 2687 |
"rope_scaling": null,
|
| 2688 |
"rope_theta": 1000000,
|
| 2689 |
"sliding_window": null,
|
| 2690 |
"tie_word_embeddings": false,
|
| 2691 |
"torch_dtype": "bfloat16",
|
| 2692 |
+
"transformers_version": "4.51.3",
|
| 2693 |
+
"unsloth_fixed": true,
|
| 2694 |
"use_cache": true,
|
| 2695 |
"use_sliding_window": false,
|
| 2696 |
"vocab_size": 151936
|
generation_config.json
CHANGED
|
@@ -1,13 +1,14 @@
|
|
| 1 |
{
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
|
|
|
|
|
| 1 |
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": [
|
| 5 |
+
151645,
|
| 6 |
+
151643
|
| 7 |
+
],
|
| 8 |
+
"max_length": 40960,
|
| 9 |
+
"pad_token_id": 151654,
|
| 10 |
+
"temperature": 0.6,
|
| 11 |
+
"top_k": 20,
|
| 12 |
+
"top_p": 0.95,
|
| 13 |
+
"transformers_version": "4.51.3"
|
| 14 |
+
}
|
model-00001-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a34cf9222fabcd23f5818c54655db29c63bb15405e5ed566737df0ff9cd0c84c
|
| 3 |
+
size 5352865510
|
model-00002-of-00002.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1f0abd78717e47e007ad6c6dacaa763111f29a97fe04b6ac1189cb9856abe3d2
|
| 3 |
+
size 3052272046
|
special_tokens_map.json
CHANGED
|
@@ -22,7 +22,7 @@
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
-
"content": "<|
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
|
|
|
| 22 |
"single_word": false
|
| 23 |
},
|
| 24 |
"pad_token": {
|
| 25 |
+
"content": "<|vision_pad|>",
|
| 26 |
"lstrip": false,
|
| 27 |
"normalized": false,
|
| 28 |
"rstrip": false,
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
CHANGED
|
@@ -227,13 +227,13 @@
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
| 230 |
-
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0].role == 'system' %}\n {{- messages[0].content + '\\n\\n' }}\n {%- endif %}\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>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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\" }}\n{%- else %}\n {%- if messages[0].role == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}\n{%- for message in messages[::-1] %}\n {%- set index = (messages|length - 1) - loop.index0 %}\n {%- if ns.multi_step_tool and message.role == \"user\" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}\n {%- set ns.multi_step_tool = false %}\n {%- set ns.last_query_index = index %}\n {%- endif %}\n{%- endfor %}\n{%- for message in messages %}\n {%- if message.content is string %}\n {%- set content = message.content %}\n {%- else %}\n {%- set content = '' %}\n {%- endif %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {%- set reasoning_content = '' %}\n {%- if message.reasoning_content is string %}\n {%- set reasoning_content = message.reasoning_content %}\n {%- else %}\n {%- if '</think>' in content %}\n {%- set reasoning_content = content.split('</think>')[0].rstrip('\\n').split('<think>')[-1].lstrip('\\n') %}\n {%- set content = content.split('</think>')[-1].lstrip('\\n') %}\n {%- endif %}\n {%- endif %}\n {%- if loop.index0 > ns.last_query_index %}\n {%- if loop.last or (not loop.last and reasoning_content) %}\n {{- '<|im_start|>' + message.role + '\\n<think>\\n' + reasoning_content.strip('\\n') + '\\n</think>\\n\\n' + content.lstrip('\\n') }}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- else %}\n {{- '<|im_start|>' + message.role + '\\n' + content }}\n {%- endif %}\n {%- if message.tool_calls %}\n {%- for tool_call in message.tool_calls %}\n {%- if (loop.first and content) or (not loop.first) %}\n {{- '\\n' }}\n {%- endif %}\n {%- if tool_call.function %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {%- if tool_call.arguments is string %}\n {{- tool_call.arguments }}\n {%- else %}\n {{- tool_call.arguments | tojson }}\n {%- endif %}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {%- endif %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n {%- if enable_thinking is defined and enable_thinking is false %}\n {{- '<think>\\n\\n</think>\\n\\n' }}\n {%- endif %}\n{%- endif %}",
|
| 231 |
"clean_up_tokenization_spaces": false,
|
| 232 |
"eos_token": "<|im_end|>",
|
| 233 |
"errors": "replace",
|
| 234 |
"extra_special_tokens": {},
|
| 235 |
-
"model_max_length":
|
| 236 |
-
"pad_token": "<|
|
|
|
|
| 237 |
"split_special_tokens": false,
|
| 238 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
"unk_token": null
|
|
|
|
| 227 |
"<|video_pad|>"
|
| 228 |
],
|
| 229 |
"bos_token": null,
|
|
|
|
| 230 |
"clean_up_tokenization_spaces": false,
|
| 231 |
"eos_token": "<|im_end|>",
|
| 232 |
"errors": "replace",
|
| 233 |
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 40960,
|
| 235 |
+
"pad_token": "<|vision_pad|>",
|
| 236 |
+
"padding_side": "left",
|
| 237 |
"split_special_tokens": false,
|
| 238 |
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
"unk_token": null
|