license: other
inference: false
WizardLM: An Instruction-following LLM Using Evol-Instruct
These files are the result of merging the delta weights with the original Llama7B model.
The code for merging is provided in the WizardLM official Github repo.
WizardLM-7B GGML
This repo contains GGML files for for CPU inference using llama.cpp.
Other repositories available
REQUIRES LATEST LLAMA.CPP (May 12th 2023 - commit b9fd7ee)!
llama.cpp recently made a breaking change to its quantisation methods.
I have re-quantised the GGML files in this repo. Therefore you will require llama.cpp compiled on May 12th or later (commit b9fd7ee or later) to use them.
The previous files, which will still work in older versions of llama.cpp, can be found in branch previous_llama.
Provided files
| Name | Quant method | Bits | Size | RAM required | Use case |
|---|---|---|---|---|---|
WizardLM-7B.GGML.q4_0.bin |
q4_0 | 4bit | 4.2GB | 6GB | 4bit. |
WizardLM-7B.GGML.q5_0.bin |
q5_0 | 5bit | 4.63GB | 7GB | Higher quality inference than 4bit, at cost of slightly higher resources. |
WizardLM-7B.GGML.q5_1.bin |
q5_1 | 5bit | 5.0GB | 7GB | Higher quality and resource usage again. |
How to run in llama.cpp
I use the following command line; adjust for your tastes and needs:
./main -t 18 -m WizardLM-7B.GGML.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 8 cores/16 threads, use -t 8.
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.
Note: at this time text-generation-webui may not support the new llama.cpp quantisation methods (May 12th)
Thireus has written a great guide on how to update it to the latest llama.cpp code to get support for thew newer files quicker.
Original model info
Overview of Evol-Instruct Evol-Instruct is a novel method using LLMs instead of humans to automatically mass-produce open-domain instructions of various difficulty levels and skills range, to improve the performance of LLMs.
