42 lines
1.2 KiB
Markdown
42 lines
1.2 KiB
Markdown
---
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license: gemma
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library_name: transformers
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pipeline_tag: text-generation
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extra_gated_heading: Access Gemma on Hugging Face
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extra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and
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agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging
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Face and click below. Requests are processed immediately.
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extra_gated_button_content: Acknowledge license
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base_model: google/gemma-3-1b-it
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tags:
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- mlx
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---
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# mlx-community/gemma-3-1b-it-qat-bf16
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The Model [mlx-community/gemma-3-1b-it-qat-bf16](https://huggingface.co/mlx-community/gemma-3-1b-it-qat-bf16) was
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converted to MLX format from [google/gemma-3-1b-it-qat-q4_0](https://huggingface.co/google/gemma-3-1b-it-qat-q4_0)
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using mlx-lm version **0.22.5**.
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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("mlx-community/gemma-3-1b-it-qat-bf16")
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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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