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.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,48 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language:
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+ - en
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+ - fr
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+ - de
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+ - es
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+ - it
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+ - pt
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+ - zh
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+ - ja
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+ - ru
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+ - ko
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+ license: apache-2.0
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+ library_name: vllm
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+ base_model: mistralai/Mistral-Small-24B-Instruct-2501
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+ extra_gated_description: If you want to learn more about how we process your personal
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+ data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>.
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+ tags:
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+ - mlx
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+ ---
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+
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+ # mlx-community/Mistral-Small-24B-Instruct-2501-bf16
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+
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+ The Model [mlx-community/Mistral-Small-24B-Instruct-2501-bf16](https://huggingface.co/mlx-community/Mistral-Small-24B-Instruct-2501-bf16) was
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+ converted to MLX format from [mistralai/Mistral-Small-24B-Instruct-2501](https://huggingface.co/mistralai/Mistral-Small-24B-Instruct-2501)
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+ using mlx-lm version **0.21.1**.
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+
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+ ## Use with mlx
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+
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+ ```bash
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+ pip install mlx-lm
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+ ```
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+
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+ ```python
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+ from mlx_lm import load, generate
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+
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+ model, tokenizer = load("mlx-community/Mistral-Small-24B-Instruct-2501-bf16")
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+
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+ prompt = "hello"
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+
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+ if tokenizer.chat_template is not None:
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+ messages = [{"role": "user", "content": prompt}]
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+ prompt = tokenizer.apply_chat_template(
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+ messages, add_generation_prompt=True
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+ )
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+
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+ response = generate(model, tokenizer, prompt=prompt, verbose=True)
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+ ```
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "rms_norm_eps": 1e-05,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.49.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 131072
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+ }
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