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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="YWZBrandon/openai-gsm8k_meta-llama-Llama-3.2-3B_sft_lora", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/yuweiz/ActionEditV1/runs/y1bjjrdl)
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This model was trained with SFT.
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### Framework versions
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This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the [openai/gsm8k](https://huggingface.co/datasets/openai/gsm8k) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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### Framework versions
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