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https://github.com/NVIDIA/workbench-llamafactory
This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.
https://github.com/NVIDIA/workbench-llamafactory
Last synced: 26 days ago
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This is an NVIDIA AI Workbench example project that demonstrates an end-to-end model development workflow using Llamafactory.
- Host: GitHub
- URL: https://github.com/NVIDIA/workbench-llamafactory
- Owner: NVIDIA
- License: apache-2.0
- Created: 2024-05-31T20:07:30.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-10-17T02:30:19.000Z (4 months ago)
- Last Synced: 2025-01-01T04:05:57.080Z (about 1 month ago)
- Language: Jupyter Notebook
- Size: 276 KB
- Stars: 42
- Watchers: 2
- Forks: 15
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## LLaMA-Factory - AI Workbench Project
This is an [NVIDIA AI Workbench](https://www.nvidia.com/en-us/deep-learning-ai/solutions/data-science/workbench/) project to deploy [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory).
**Please follow the LLM fine-tuning tutorial for [RTX AI Toolkit here](https://github.com/NVIDIA/RTX-AI-Toolkit/blob/main/tutorial-llama3-finetune.md).**
Minimum recommended Workbench ver: 0.50.16
Docker Desktop ver. 4.31+
## Features
- Fine-tune an LLM using Llama factory.
- Fuse generated LoRA adapter with the base model.
- Apply Post Training Quantization to your model.
- Export model to TensorRT-LLM checkpoint.
- Support for unsloth.