|
--- |
|
license: other |
|
language: |
|
- en |
|
pipeline_tag: text2text-generation |
|
tags: |
|
- alpaca |
|
- llama |
|
- chat |
|
- gpt4 |
|
inference: false |
|
--- |
|
<!-- header start --> |
|
<div style="width: 100%;"> |
|
<img src="https://i.imgur.com/EBdldam.jpg" alt="TheBlokeAI" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
|
</div> |
|
<div style="display: flex; justify-content: space-between; width: 100%;"> |
|
<div style="display: flex; flex-direction: column; align-items: flex-start;"> |
|
<p><a href="https://discord.gg/Jq4vkcDakD">Chat & support: my new Discord server</a></p> |
|
</div> |
|
<div style="display: flex; flex-direction: column; align-items: flex-end;"> |
|
<p><a href="https://www.patreon.com/TheBlokeAI">Want to contribute? TheBloke's Patreon page</a></p> |
|
</div> |
|
</div> |
|
<!-- header end --> |
|
# GPT4 Alpaca LoRA 30B - 4bit GGML |
|
|
|
This is a 4-bit GGML version of the [Chansung GPT4 Alpaca 30B LoRA model](https://huggingface.co/chansung/gpt4-alpaca-lora-30b). |
|
|
|
It was created by merging the LoRA provided in the above repo with the original Llama 30B model, producing unquantised model [GPT4-Alpaca-LoRA-30B-HF](https://huggingface.co/TheBloke/gpt4-alpaca-lora-30b-HF) |
|
|
|
The files in this repo were then quantized to 4bit and 5bit for use with [llama.cpp](https://github.com/ggerganov/llama.cpp). |
|
|
|
## 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. |
|
|
|
For files compatible with the previous version of llama.cpp, please see branch `previous_llama_ggmlv2`. |
|
|
|
## Provided files |
|
| Name | Quant method | Bits | Size | RAM required | Use case | |
|
| ---- | ---- | ---- | ---- | ---- | ----- | |
|
`gpt4-alpaca-lora-30B.ggmlv3.q4_0.bin` | q4_0 | 4bit | 20.3GB | 23GB | 4bit. | |
|
`gpt4-alpaca-lora-30B.ggmlv3.q4_1.bin` | q4_1 | 4bit | 22.4GB | 25GB | 4-bit. Higher accuracy than q4_0 but not as high as q5_0. However has quicker inference than q5 models. | |
|
`gpt4-alpaca-lora-30B.ggmlv3.q5_0.bin` | q5_0 | 5bit | 22.4GB | 25GB | 5bit. Higher accuracy, higher resource usage, slower inference. | |
|
`gpt4-alpaca-lora-30B.ggmlv3.q5_1.bin` | q5_1 | 5bit | 24.4GB | 27GB | 5bit. Even higher accuracy and resource usage, and slower inference. | |
|
|
|
## How to run in `llama.cpp` |
|
|
|
I use the following command line; adjust for your tastes and needs: |
|
|
|
``` |
|
./main -t 18 -m gpt4-alpaca-lora-30B.ggmlv3.q4_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "Below is an instruction that describes a task. Write a response that appropriately completes the request. |
|
### Instruction: |
|
Write a story about llamas |
|
### Response:" |
|
``` |
|
Change `-t 18` to the number of physical CPU cores you have. For example if your system has 6 cores/12 threads, use `-t 6`. |
|
|
|
If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins` |
|
|
|
## How to run in `text-generation-webui` |
|
|
|
Create a model directory that has `ggml` (case sensitive) in its name. Then put the desired .bin file in that model directory. |
|
|
|
Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md). |
|
|
|
Note: at this time text-generation-webui may not support the new May 19th llama.cpp quantisation methods for q4_0, q4_1 and q8_0 files. |
|
|
|
<!-- footer start --> |
|
## Discord |
|
|
|
For further support, and discussions on these models and AI in general, join us at: |
|
|
|
[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD) |
|
|
|
## Thanks, and how to contribute. |
|
|
|
Thanks to the [chirper.ai](https://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! |
|
<!-- footer end --> |
|
|
|
# Original GPT4 Alpaca Lora model card |
|
|
|
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. |
|
- Training script: borrowed from the official [Alpaca-LoRA](https://github.com/tloen/alpaca-lora) implementation |
|
- Training script: |
|
```shell |
|
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](https://wandb.ai/chansung18/gpt4_alpaca_lora/runs/w3syd157?workspace=user-chansung18). |
|
|
