inference: false
license: other
Tim Dettmers' Guanaco 7B GPTQ
These files are GPTQ 4bit model files for Tim Dettmers' Guanaco 7B.
It is the result of merging the LoRA then quantising to 4bit using GPTQ-for-LLaMa.
Other repositories available
- 4-bit GPTQ models for GPU inference
- 4-bit, 5-bit and 8-bit GGML models for CPU(+GPU) inference
- Merged, unquantised fp16 model in HF format
How to easily download and use this model in text-generation-webui
Open the text-generation-webui UI as normal.
- Click the Model tab.
- Under Download custom model or LoRA, enter
TheBloke/guanaco-7B-GPTQ
. - Click Download.
- Wait until it says it's finished downloading.
- Click the Refresh icon next to Model in the top left.
- In the Model drop-down: choose the model you just downloaded,
guanaco-7B-GPTQ
. - If you see an error in the bottom right, ignore it - it's temporary.
- Fill out the
GPTQ parameters
on the right:Bits = 4
,Groupsize = 128
,model_type = Llama
- Click Save settings for this model in the top right.
- Click Reload the Model in the top right.
- Once it says it's loaded, click the Text Generation tab and enter a prompt!
Provided files
Compatible file - Guanaco-7B-GPTQ-4bit-128g.no-act-order.safetensors
In the main
branch you will find Guanaco-7B-GPTQ-4bit-128g.no-act-order.safetensors
This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility.
It was created with groupsize 128 to ensure higher quality inference, without --act-order
parameter to maximise compatibility.
Guanaco-7B-GPTQ-4bit-128g.no-act-order.safetensors
- Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
- Works with AutoGPTQ
- Works with text-generation-webui one-click-installers
- Parameters: Groupsize = 128. No act-order.
- Command used to create the GPTQ:
python llama.py /workspace/process/TheBloke_guanaco-7B-GGML/HF wikitext2 --wbits 4 --true-sequential --groupsize 128 --save_safetensors /workspace/process/TheBloke_guanaco-7B-GGML/gptq/Guanaco-7B-GPTQ-4bit-128g.no-act-order.safetensors
Discord
For further support, and discussions on these models and AI in general, join us at:
Thanks, and how to contribute.
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: https://patreon.com/TheBlokeAI
- Ko-Fi: https://ko-fi.com/TheBlokeAI
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!
Original model card
Not provided by original model creator.