Chat & support: my new Discord server
Want to contribute? TheBloke's Patreon page
This is a 4bit 128g GPTQ of chansung's gpt4-alpaca-lora-13b .
Open the text-generation-webui UI as normal.
Command to create was:
CUDA_VISIBLE_DEVICES=0 python3 llama.py /content/gpt4-alpaca-lora-13B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors /content/gpt4-alpaca-lora-13B-GPTQ-4bit-128g.safetensors
Command to clone the latest Triton GPTQ-for-LLaMa repo for inference using llama_inference.py , or in text-generation-webui :
# Clone text-generation-webui, if you don't already have it git clone https://github.com/oobabooga/text-generation-webui # Make a repositories directory mkdir -p text-generation-webui/repositories cd text-generation-webui/repositories # Clone the latest GPTQ-for-LLaMa code inside text-generation-webui git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa
There is also a no-act-order.safetensors file which will work with oobabooga's fork of GPTQ-for-LLaMa; it does not require the latest GPTQ code.
For further support, and discussions on these models and AI in general, join us at:
Thanks to the chirper.ai team!
I've had a lot of people ask if they can contribute. I enjoy providing models and helping people, and would love to be able to spend even more time doing it, as well as expanding into new projects like fine tuning/training.
If you're able and willing to contribute it will be most gratefully received and will help me to keep providing more models, and to start work on new AI projects.
Donaters will get priority support on any and all AI/LLM/model questions and requests, access to a private Discord room, plus other benefits.
Patreon special mentions : Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.
Thank you to all my generous patrons and donaters!
This repository comes with LoRA checkpoint to make LLaMA into a chatbot like language model. The checkpoint is the output of instruction following fine-tuning process with the following settings on 8xA100(40G) DGX system.
python finetune.py \ --base_model='decapoda-research/llama-30b-hf' \ --data_path='alpaca_data_gpt4.json' \ --num_epochs=10 \ --cutoff_len=512 \ --group_by_length \ --output_dir='./gpt4-alpaca-lora-30b' \ --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' \ --lora_r=16 \ --batch_size=... \ --micro_batch_size=...
You can find how the training went from W&B report here .