metadata

inference: false
license: other
datasets:
  - gozfarb/ShareGPT_Vicuna_unfiltered

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Aeala's VicUnlocked Alpaca 65B QLoRA GGML

These files are GGML format model files for Aeala's VicUnlocked Alpaca 65B QLoRA.

GGML files are for CPU + GPU inference using llama.cpp and libraries and UIs which support this format, such as:

Other repositories available

THE FILES IN MAIN BRANCH REQUIRES LATEST LLAMA.CPP (May 19th 2023 - commit 2d5db48)!

llama.cpp recently made another breaking change to its quantisation methods - https://github.com/ggerganov/llama.cpp/pull/1508

I have quantised the GGML files in this repo with the latest version. Therefore you will require llama.cpp compiled on May 19th or later (commit 2d5db48 or later) to use them.

Provided files

Name	Quant method	Bits	Size	RAM required	Use case
VicUnlocked-Alpaca-65B.ggmlv3.q4_0.bin	q4_0	4	36.73 GB	39.23 GB	4-bit.
VicUnlocked-Alpaca-65B.ggmlv3.q4_1.bin	q4_1	4	40.81 GB	43.31 GB	4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models.
VicUnlocked-Alpaca-65B.ggmlv3.q5_0.bin	q5_0	5	44.89 GB	47.39 GB	5-bit. Higher accuracy, higher resource usage and slower inference.
VicUnlocked-Alpaca-65B.ggmlv3.q5_1.bin	q5_1	5	48.97 GB	51.47 GB	5-bit. Even higher accuracy, resource usage and slower inference.
VicUnlocked-Alpaca-65B.ggmlv3.q8_0.bin	q8_0	8	69.37 GB	71.87 GB	8-bit. Almost indistinguishable from float16. Huge resource use and slow. Not recommended for most use cases.

q8_0 file requires expansion from archive

Note: HF does not support uploading files larger than 50GB. Therefore I have uploaded the q8_0 file in a multi-part ZIP file. The ZIP is not compressed, it is just storing the .bin file in two parts.

To decompress it, please download

VicUnlocked-Alpaca-65B.ggmlv3.q8_0.zip
VicUnlocked-Alpaca-65B.ggmlv3.q8_0.z01

and extract the .zip archive. This will will expand both parts automatically. On Linux I found I had to use 7zip - the basic unzip tool did not work. Example:

sudo apt update -y && sudo apt install 7zip
7zz x VicUnlocked-Alpaca-65B.ggmlv3.q8_0.zip # Once the q8_0.bin is extracted you can delete the .zip and .z01

How to run in `llama.cpp`

I use the following command line; adjust for your tastes and needs:

./main -t 10 -ngl 32 -m VicUnlocked-Alpaca-65B.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: Write a story about llamas\n### Response:"

Change -t 10 to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use -t 8.

Change -ngl 32 to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.

If you want to have a chat-style conversation, replace the -p <PROMPT> argument with -i -ins

How to run in `text-generation-webui`

Further instructions here: text-generation-webui/docs/llama.cpp-models.md.

Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server

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!

Patreon special mention: Jonathan Leane; Talal Aujan. Thank you both, and to all my other patrons and donaters.

Original model card: Aeala's VicUnlocked Alpaca 65B QLoRA

LoRA Info:

Please note that this is a highly experimental LoRA model. It may do some good stuff, it might do some undesirable stuff. Training is paused for now. Feel free to try it!~

Important Note: While this is trained on a cleaned ShareGPT dataset like Vicuna used, this was trained in the Alpaca format, so prompting should be something like:

### Instruction:

<prompt> (without the <>)

### Response:

Current upload: checkpoint of step 1200 in training.

Benchmarks

wikitext2: Coming soon...

ptb-new: Coming soon...

c4-new: Coming soon...