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--- |
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language: |
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- en |
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license: other |
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library_name: transformers |
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datasets: |
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- mlabonne/orpo-dpo-mix-40k |
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tags: |
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- 4-bit |
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- AWQ |
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- text-generation |
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- autotrain_compatible |
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- endpoints_compatible |
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- orpo |
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- llama 3 |
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- rlhf |
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- sft |
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pipeline_tag: text-generation |
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inference: false |
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quantized_by: Suparious |
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--- |
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# mlabonne/OrpoLlama-3-8B AWQ |
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- Model creator: [mlabonne](https://huggingface.co/mlabonne) |
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- Original model: [OrpoLlama-3-8B](https://huggingface.co/mlabonne/OrpoLlama-3-8B) |
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## Model Summary |
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This is an ORPO fine-tune of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on 1k samples of [mlabonne/orpo-dpo-mix-40k](https://huggingface.co/datasets/mlabonne/orpo-dpo-mix-40k) created for [this article](https://huggingface.co/blog/mlabonne/orpo-llama-3). |
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It's a successful fine-tune that follows the ChatML template! |
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**Try the demo**: https://huggingface.co/spaces/mlabonne/OrpoLlama-3-8B |
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## 🔎 Application |
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This model uses a context window of 8k. It was trained with the ChatML template. |
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## 🏆 Evaluation |
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### Nous |
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OrpoLlama-4-8B outperforms Llama-3-8B-Instruct on the GPT4All and TruthfulQA datasets. |
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