74dbfc4020
Model: mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16 Source: Original Platform
40 lines
1023 B
Markdown
40 lines
1023 B
Markdown
---
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language:
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- en
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metrics:
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- accuracy
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base_model: Menlo/ReZero-v0.1-llama-3.2-3b-it-grpo-250404
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library_name: mlx
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tags:
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- mlx
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pipeline_tag: text-generation
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---
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# mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16
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This model [mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16](https://huggingface.co/mlx-community/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16) was
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converted to MLX format from [Menlo/ReZero-v0.1-llama-3.2-3b-it-grpo-250404](https://huggingface.co/Menlo/ReZero-v0.1-llama-3.2-3b-it-grpo-250404)
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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/ReZero-v0.1-llama-3.2-3b-it-grpo-250404-fp16")
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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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