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# Model Card for Llama-3.1-Argunaut-1-8B-SPIN
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This model is a fine-tuned version of [DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT](https://huggingface.co/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT).
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It has been trained using [TRL](https://github.com/huggingface/trl) and [vLLM](https://docs.vllm.ai/). Checkpoints are tagged.
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This model was trained with Self-Play Fine-Tuning (SPIN), a method introduced in [Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models](https://huggingface.co/papers/2401.01335).
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More details about the training procedure
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### Framework versions
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# Model Card for Llama-3.1-Argunaut-1-8B-SPIN
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📘 [HF Blog Article](https://huggingface.co/blog/ggbetz/argunauts-phase-2)
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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/ggbetz/argunauts-training/runs/s89n820x)
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This model is a fine-tuned version of [DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT](https://huggingface.co/DebateLabKIT/Llama-3.1-Argunaut-1-8B-SFT).
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It has been trained using [TRL](https://github.com/huggingface/trl) and [vLLM](https://docs.vllm.ai/). Checkpoints are tagged.
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This model was trained with Self-Play Fine-Tuning (SPIN), a method introduced in [Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models](https://huggingface.co/papers/2401.01335).
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More details about the training procedure are described in the [blog post](https://huggingface.co/blog/ggbetz/argunauts-phase-2).
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### Framework versions
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