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* 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 <twenty8th@users.noreply.github.com> Co-authored-by: Wing Lian <wing.lian@gmail.com>
13 lines
970 B
Markdown
13 lines
970 B
Markdown
# Description
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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 🤗:**
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To upload your fine-tuned model to Hugging Face, include the following files:
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