xTuring VS safetensors_util

Explore the project on GitHub here.

If you're curious, I encourage you to: - Dive deeper with the LLaMA 2 tutorial here. - Explore the project on GitHub here. - Connect with our community on Discord here.

If you want best performance, you need to do both RAG and fine-tuning very well. There are plenty of resources on doing fine-tuning thought. I'm one of the contributors to https://github.com/stochasticai/xturing project focused on fine-tuning LLMs. You can find help in the discord channel listed on the GitHub.

What tools do you use and achieved great results ? … For me i have tried xturing and SFTTrainer and they got me a semi okay results.

Code: https://github.com/stochasticai/xTuring/blob/main/examples/llama/llama_lora_int8.py Colab: https://colab.research.google.com/drive/1SQUXq1AMZPSLD4mk3A3swUIc6Y2dclme?usp=sharing

We are a group of researchers out of Harvard working on open-source library called xTuring, focused on fine-tuning LLMs: https://github.com/stochasticai/xturing.

Fine tuning I was thinking about using this (low GPU memory footprint): https://github.com/stochasticai/xturing/blob/main/examples/int4_finetuning/README.md

I can't speak for QLORA, as I haven't had a chance to get an implementation working, but I've had success with StochasticAI's Xturing. It's by far the most streamlined method of finetuning I've come across, and they offer int8 and int4 fintuning (but only for llama-7B).

There is also this tool: https://github.com/by321/safetensors_util which can show captions used to train a LoRA. It probably works on mine. You could try it on CIVITAI models to get an idea of other peoples captions.

If it's a safetensors file then you might be able to read the metadata with this, I have no idea about anything LyCORIS tho lol sorry, no idea if they're even safetensors or what. Figured I'd link the Reddit post so you can leave the person a like if you use their app and it helps you, but if you'd rather just skip to the Github for it that's your decision :) I've tried it and can confirm it works with Loras and regular models in safetensors format, so LyCORIS should be at least possible, as long as it's a safetensors file.

Many safetensors files, especially LoRA files, have a metadata field in the file header that records training information. This small python utility program lets you see this information, run it like this: