---
license: other
inference: false
---

# WizardLM: An Instruction-following LLM Using Evol-Instruct

These files are the result of merging the [delta weights](https://huggingface.co/victor123/WizardLM) with the original Llama7B model.

The code for merging is provided in the [WizardLM official Github repo](https://github.com/nlpxucan/WizardLM).

## WizardLM-7B 4bit GPTQ

This repo contains 4bit GPTQ models for GPU inference, quantised using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).

## Other repositories available

* [4bit GGML models for CPU inference](https://huggingface.co/TheBloke/wizardLM-7B-GGML)
* [Unquantised model in HF format](https://huggingface.co/TheBloke/wizardLM-7B-HF)

## PERFORMANCE ISSUES

I am currently working on re-creating these GPTQs due to performance issues reported by many people.

If you've not yet downloaded the models you might want to wait an hour to see if the new files I'm making now will fix this problem.

This message will disappear once the problem is resolved.

## GIBBERISH OUTPUT IN `text-generation-webui`?

Please read the Provided Files section below. You should use `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors` unless you are able to use the latest GPTQ-for-LLaMa code.

If you're using a text-generation-webui one click installer, you MUST use `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors`.

## Provided files

Two files are provided. **The second file will not work unless you use a recent version of GPTQ-for-LLaMa**

Specifically, the second file uses `--act-order` for maximum quantisation quality and will not work with oobabooga's fork of GPTQ-for-LLaMa. Therefore at this time it will also not work with `text-generation-webui` one-click installers.

Unless you are able to use the latest GPTQ-for-LLaMa code, please use `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors`.
 
* `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors`
  * Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
  * Works with text-generation-webui one-click-installers
  * Works on Windows
  * Parameters: Groupsize = 128g. No act-order.
  * Command used to create the GPTQ:
    ```
    CUDA_VISIBLE_DEVICES=0 python3 llama.py wizardLM-7B-HF c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors
    ```
* `wizardLM-7B-GPTQ-4bit-128g.act-order.safetensors`
  * Only works with recent GPTQ-for-LLaMa code
  * **Does not** work with text-generation-webui one-click-installers
  * Parameters: Groupsize = 128g. act-order.
  * Offers highest quality quantisation, but requires recent GPTQ-for-LLaMa code
  * Command used to create the GPTQ:
    ```
    CUDA_VISIBLE_DEVICES=0 python3 llama.py wizardLM-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors wizardLM-7B-GPTQ-4bit-128g.act-order.safetensors
    ```

## How to run in `text-generation-webui`

File `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors` can be loaded the same as any other GPTQ file, without requiring any updates to [oobaboogas text-generation-webui](https://github.com/oobabooga/text-generation-webui).

[Instructions on using GPTQ 4bit files in text-generation-webui are here](https://github.com/oobabooga/text-generation-webui/wiki/GPTQ-models-\(4-bit-mode\)).

The other `safetensors` model file was created using `--act-order` to give the maximum possible quantisation quality, but this means it requires that the latest GPTQ-for-LLaMa is used inside the UI.

If you want to use the act-order `safetensors` files and need to update the Triton branch of GPTQ-for-LLaMa, here are the commands I used to clone the Triton branch of GPTQ-for-LLaMa, clone text-generation-webui, and install GPTQ into the UI:
```
# 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 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
```

Then install this model into `text-generation-webui/models` and launch the UI as follows:
```
cd text-generation-webui
python server.py --model wizardLM-7B-GPTQ --wbits 4 --groupsize 128 --model_type Llama # add any other command line args you want
```

The above commands assume you have installed all dependencies for GPTQ-for-LLaMa and text-generation-webui. Please see their respective repositories for further information.

If you can't update GPTQ-for-LLaMa or don't want to, you can use `wizardLM-7B-GPTQ-4bit-128g.no-act-order.safetensors` as mentioned above, which should work without any upgrades to text-generation-webui.

# 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.

![info](https://github.com/nlpxucan/WizardLM/raw/main/imgs/git_running.png)