punica
LLaMA-Factory
punica | LLaMA-Factory | |
---|---|---|
1 | 3 | |
817 | 21,791 | |
3.9% | - | |
8.7 | 9.9 | |
7 days ago | 4 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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punica
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
What are some alternatives?
llama-peft-tuner - Tune LLaMa-7B on Alpaca Dataset using PEFT / LORA Based on @zphang's https://github.com/zphang/minimal-llama scripts.
KVQuant - KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization