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Co-authored-by: schroneko <[email protected]>
- README.md +7 -7
- config.json +0 -8
- model.safetensors +2 -2
- model.safetensors.index.json +1 -397
README.md
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- mlx
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---
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# mlx-community/
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The Model [mlx-community/
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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using mlx-lm version **0.
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## Use with mlx
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/
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prompt
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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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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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- mlx
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---
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# mlx-community/DeepSeek-R1-Distill-Qwen-1.5B
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The Model [mlx-community/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/mlx-community/DeepSeek-R1-Distill-Qwen-1.5B) was
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converted to MLX format from [deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B)
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using mlx-lm version **0.20.2**.
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## Use with mlx
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-1.5B")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and 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, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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config.json
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"quantization": {
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"group_size": 64,
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"bits": 4
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},
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"quantization_config": {
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"bits": 4
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},
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000,
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"sliding_window": 4096,
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000,
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"sliding_window": 4096,
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