初始化项目，由ModelHub XC社区提供模型

Model: tomasmcm/Baguettotron-mlx-fp16
Source: Original Platform

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README.md

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+---
+language:
+- en
+- fr
+- it
+- de
+- es
+- pl
+license: apache-2.0
+pipeline_tag: text-generation
+tags:
+- transformers
+- mlx
+- mlx-my-repo
+library_name: transformers
+datasets:
+- PleIAs/SYNTH
+base_model: PleIAs/Baguettotron
+---
+
+# tomasmcm/Baguettotron-mlx-fp16
+
+The Model [tomasmcm/Baguettotron-mlx-fp16](https://huggingface.co/tomasmcm/Baguettotron-mlx-fp16) was converted to MLX format from [PleIAs/Baguettotron](https://huggingface.co/PleIAs/Baguettotron) using mlx-lm version **0.29.1**.
+
+## Use with mlx
+
+```bash
+pip install mlx-lm
+```
+
+```python
+from mlx_lm import load, generate
+
+model, tokenizer = load("tomasmcm/Baguettotron-mlx-fp16")
+
+prompt="hello"
+
+if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
+    messages = [{"role": "user", "content": prompt}]
+    prompt = tokenizer.apply_chat_template(
+        messages, tokenize=False, add_generation_prompt=True
+    )
+
+response = generate(model, tokenizer, prompt=prompt, verbose=True)
+```

config.json

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+{
+    "architectures": [
+        "LlamaForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "head_dim": 64,
+    "hidden_act": "silu",
+    "hidden_size": 576,
+    "initializer_range": 0.02,
+    "intermediate_size": 1536,
+    "max_position_embeddings": 4096,
+    "mlp_bias": false,
+    "model_type": "llama",
+    "num_attention_heads": 9,
+    "num_hidden_layers": 80,
+    "num_key_value_heads": 3,
+    "pretraining_tp": 1,
+    "rms_norm_eps": 1e-05,
+    "rope_scaling": null,
+    "rope_theta": 10000,
+    "tie_word_embeddings": true,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.51.3",
+    "use_cache": true,
+    "vocab_size": 65536
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.51.3"
+}

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special_tokens_map.json

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+    "⟨H≈1.4⟩",
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+    "⟨H≈1.6⟩",
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+    "single_word": false
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+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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