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Fine-Tuning Mistral-7b for Real-World Chatbot Applications Using Axol…
…otl (Lora used) (#1155) * Mistral-7b finetune example using axolotl with code,config,data * Corrected the path for huggingface dataset * Update data.jsonl * chore: lint --------- Co-authored-by: twenty8th <[email protected]> Co-authored-by: Wing Lian <[email protected]>
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# Description | ||
This repository presents an in-depth guide for fine-tuning Mistral-7b or any other compatible model using Axolotl, tailored specifically for chatbot development. It streamlines the process of fine-tuning and uploading the enhanced model to HuggingFace 🤗, thereby serving as an invaluable tool for developers in the AI and chatbot domain. | ||
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**What’s Inside:** | ||
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Beginner-Friendly Instructions: Comprehensive steps to guide you through fine-tuning your chosen model, including details on the data structure (jsonl), configuration, and the code itself. | ||
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Hardware Utilized: For reference, the fine-tuning in this guide was performed using 4x NVIDIA GeForce RTX 3090 (rented 2.1.2-cuda12.1-cudnn8-devel). | ||
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**Uploading to HuggingFace 🤗:** | ||
To upload your fine-tuned model to Hugging Face, include the following files: | ||
![Screenshot 2024-01-19 213932](https://github.com/OpenAccess-AI-Collective/axolotl/assets/138583191/d660eb84-2d76-46a1-9846-cf0aeb3006d9) |
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