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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,59 @@
+---
+library_name: mlx
+language:
+- ar
+- cs
+- de
+- en
+- es
+- fr
+- hi
+- it
+- ja
+- ko
+- nl
+- pl
+- pt
+- ro
+- ru
+- sv
+- ur
+- zh
+tags:
+- falcon-h1
+- mlx
+license: other
+license_name: falcon-llm-license
+license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
+base_model: tiiuae/Falcon-H1-34B-Instruct
+inference: true
+pipeline_tag: text-generation
+---
+
+# NexVeridian/Falcon-H1-34B-Instruct-8bit
+
+This model [NexVeridian/Falcon-H1-34B-Instruct-8bit](https://huggingface.co/NexVeridian/Falcon-H1-34B-Instruct-8bit) was
+converted to MLX format from [tiiuae/Falcon-H1-34B-Instruct](https://huggingface.co/tiiuae/Falcon-H1-34B-Instruct)
+using mlx-lm version **0.28.0**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("NexVeridian/Falcon-H1-34B-Instruct-8bit")
+
+prompt = "hello"
+
+if tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

chat_template.jinja

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+{{bos_token}}
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\n\n' }}
+    {%- endif %}
+    {{- "You are a function calling AI model. You are provided with function signature within <tools> </tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.\n<tools>\n" }}
+    {%- for tool in tools %}[{{- tool | tojson }}]{%- endfor %}
+    {{- "\n</tools>\nFor each function call, return a json object with function name and arguments within <tool_call> </tool_call> tags with the following schema:\n<tool_call>\n{'arguments': <args-dict>, 'name': <function-name>}\n</tool_call>\n" }}
+{%- else %}
+    {%- if messages[0].role == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}{% for message in messages %}{%- if message.role != 'system' %}{{'<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>' + '
+'}}{%- endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{% endif %}

config.json

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+{
+    "architectures": [
+        "FalconH1ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attention_in_multiplier": 1.0,
+    "attention_out_multiplier": 0.0375,
+    "attn_layer_indices": null,
+    "bos_token_id": 1,
+    "embedding_multiplier": 5.656854249492381,
+    "eos_token_id": 11,
+    "head_dim": 128,
+    "hidden_act": "silu",
+    "hidden_size": 5120,
+    "initializer_range": 0.02,
+    "intermediate_size": 21504,
+    "key_multiplier": 0.011048543456039804,
+    "lm_head_multiplier": 0.0078125,
+    "mamba_chunk_size": 128,
+    "mamba_conv_bias": true,
+    "mamba_d_conv": 4,
+    "mamba_d_head": 128,
+    "mamba_d_ssm": 4096,
+    "mamba_d_state": 256,
+    "mamba_expand": 2,
+    "mamba_n_groups": 2,
+    "mamba_n_heads": 32,
+    "mamba_norm_before_gate": false,
+    "mamba_proj_bias": false,
+    "mamba_rms_norm": true,
+    "mamba_use_mlp": true,
+    "max_position_embeddings": 262144,
+    "mlp_bias": false,
+    "mlp_expansion_factor": 8,
+    "mlp_multipliers": [
+        0.1767766952966369,
+        0.011160714285714284
+    ],
+    "model_type": "falcon_h1",
+    "num_attention_heads": 20,
+    "num_hidden_layers": 72,
+    "num_key_value_heads": 4,
+    "num_logits_to_keep": 1,
+    "pad_token_id": 0,
+    "projectors_bias": false,
+    "quantization": {
+        "group_size": 64,
+        "bits": 8,
+        "mode": "affine"
+    },
+    "quantization_config": {
+        "group_size": 64,
+        "bits": 8,
+        "mode": "affine"
+    },
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 100000000000.0,
+    "ssm_in_multiplier": 0.25,
+    "ssm_multipliers": [
+        0.3535533905932738,
+        0.25,
+        0.1767766952966369,
+        0.5,
+        0.3535533905932738
+    ],
+    "ssm_out_multiplier": 0.08838834764831845,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.52.0.dev0",
+    "use_cache": true,
+    "vocab_size": 261120
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": [11, 228],
+  "pad_token_id": 0,
+  "transformers_version": "4.52.0.dev0"
+}

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tokenizer.json

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