LLaMA-LoRA-Tuner
lora
| LLaMA-LoRA-Tuner | lora | |
|---|---|---|
| 6 | 5 | |
| 425 | 21 | |
| - | - | |
| 7.9 | 3.5 | |
| 12 months ago | 12 months ago | |
| Python | Python | |
| - | - |
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LLaMA-LoRA-Tuner
- [P] Uptraining a pretrained model using company data?
- (HELP) Token Issue on Generation
- Help with Random Characters and Words on Output
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Fine-tuning LLaMA for research without Meta license
I would like to fine-tune LLaMA using this tuner for a research paper, but I am wondering if it is legal to do so. If it isn't, does anyone have suggestions for alternatives which are similarly user-friendly as the one above, since I am not a good programmer? Any advice would be greatly appreciated, thank you!
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Why run LLMs locally?
The bad news is that, as far as I know, it does require a GPU. The good news is that I've gotten training done with a 7b model on both google colab and kaggle with free accounts. Both have 'just' enough vram to make it work as long as you use load the model in 8bit. Like --load-in-8bit on the command line with oobabooga. The Lora Tuner frontend even has a colab notebook set up to simplify things even more. Though the frontend keeps the LoRA Rank and LoRA Alpha values capped pretty low. Thankfully that's just set in the GUI though. I think it was one of the files in its UI directory. Pretty easy to just hand edit it to allow for higher values if desired.
- How can I train my custom dataset on top of Vicuna?
lora
- LoRA training on a cloud instance.
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Completely lost regarding training LLaMA model
I have a fix for the saving bug here: https://github.com/rhulha/lora see also: https://github.com/rhulha/lora/issues/1
- [P] Uptraining a pretrained model using company data?
- Train Large Language Models (LLM) using LoRA
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Training Vicuna based on custom text/web pages
I am trying the same, but it's failing for me on the last line, but maybe it is still useful for you: https://github.com/rhulha/lora
What are some alternatives?
CodeCapybara - Open-source Self-Instruction Tuning Code LLM
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
AlpacaDataCleaned - Alpaca dataset from Stanford, cleaned and curated
qlora - QLoRA: Efficient Finetuning of Quantized LLMs
CodeCapypara - [Moved to: https://github.com/FSoft-AI4Code/CodeCapybara]
BELLE - BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
koboldcpp - A simple one-file way to run various GGML and GGUF models with KoboldAI's UI
simple-llm-finetuner - Simple UI for LLM Model Finetuning
FastChat - An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
Zicklein - Finetuning instruct-LLaMA on german datasets.
alpaca-lora - Instruct-tune LLaMA on consumer hardware
h2o-llmstudio - H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/