multi-lora-fine-tune
LLaMA-Factory
| multi-lora-fine-tune | LLaMA-Factory | |
|---|---|---|
| 1 | 3 | |
| 182 | 21,791 | |
| 15.9% | - | |
| 9.3 | 9.9 | |
| 9 days ago | 4 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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multi-lora-fine-tune
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Has anyone tried out the ASPEN-Framework for LoRA Fine-Tuning yet and can share their experience?
I want to train a Code LLaMA on some data, and I am looking for a Framework or Technique to train this on my PC with a 3090 Ti in it. In my research, I stumbled across the paper "ASPEN: High-Throughput LoRA Fine-Tuning of Large Language Models with a Single GPU" https://arxiv.org/abs/2312.02515 with this GitHub project: https://github.com/TUDB-Labs/multi-lora-fine-tune.
LLaMA-Factory
- FLaNK-AIM Weekly 06 May 2024
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Show HN: GPU Prices on eBay
Depends what model you want to train, and how well you want your computer to keep working while you're doing it.
If you're interested in large language models there's a table of vram requirements for fine-tuning at [1] which says you could do the most basic type of fine-tuning on a 7B parameter model with 8GB VRAM.
You'll find that training takes quite a long time, and as a lot of the GPU power is going on training, your computer's responsiveness will suffer - even basic things like scrolling in your web browser or changing tabs uses the GPU, after all.
Spend a bit more and you'll probably have a better time.
[1] https://github.com/hiyouga/LLaMA-Factory?tab=readme-ov-file#...
- FLaNK Weekly 31 December 2023
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