NeuralNovel
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README.md
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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```yaml
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base_model: mistralai/Mistral-7B-v0.1
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model_type: AutoModelForCausalLM
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# out
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/645cfe4603fc86c46b3e46d1/DWQzITed6k0svRv98Usyh.jpeg)
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NeuralNovel/Senzu-7B-v0.1
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```yaml
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base_model: mistralai/Mistral-7B-v0.1
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model_type: AutoModelForCausalLM
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# out
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the Neural-DPO, metamath_gsm8k and RPGPT_PublicDomain-alpaca dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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