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--- |
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license: apache-2.0 |
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pipeline_tag: text-generation |
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library_name: mlx |
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tags: |
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- vllm |
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- mlx |
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base_model: openai/gpt-oss-20b |
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--- |
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# sealad886/gpt-oss-20b-MLX-native |
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This model [sealad886/gpt-oss-20b-MLX-native](https://huggingface.co/sealad886/gpt-oss-20b-MLX-native) was |
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converted to MLX format from [openai/gpt-oss-20b](https://huggingface.co/openai/gpt-oss-20b) |
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using mlx-lm version **0.26.3**. |
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> **Note:** command for conversion: |
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> ```bash |
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> mlx_lm.convert --hf-repo openai/gpt-oss-20b ... -q --q-bits 4 |
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> ``` |
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> |
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> The version without doing an added 4-bit quant was in a 16-bit format (either bfloat16 or float16, I assume; I didn't check). |
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## Use with mlx |
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```bash |
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pip install mlx-lm |
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``` |
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```python |
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from mlx_lm import load, generate |
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model, tokenizer = load("sealad886/gpt-oss-20b-MLX-native") |
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prompt = "hello" |
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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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``` |
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