This repo contains 4bit GPTQ format quantised models of OpenAccess NAME_1 Collective's Wizard Mega 13B.

It is the result of quantising to 4bit using GPTQ-for-LLaMa.

Repositories available
4-bit GPTQ models for GPU inference.
4-bit, 5-bit 8-bit GGML models for llama.cpp CPU (+CUDA) inference.
OpenAccess NAME_1 Collective's original float16 HF format repo for GPU inference and further conversions.
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/wizard-mega-13B-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, wizard-mega-13B-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
wizard-mega-13B-GPTQ-4bit-128g.no-act-order.safetensors

This will work with all versions of GPTQ-for-LLaMa. It has maximum compatibility.

It was created without --act-order to ensure compatibility with all UIs out there.

wizard-mega-13B-GPTQ-4bit-128g.safetensors
Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
Works with text-generation-webui one-click-installers
Parameters: Groupsize = 128. No act-order.
Command used to create the GPTQ:
NAME_2.py /workspace/models/openaccess-NAME_1-collective_wizard-mega-13b c4 --wbits 4 --true-sequential --groupsize 128  --save_safetensors /workspace/wizard-mega-13b/gptq/wizard-mega-13B-GPTQ-4bit-128g.no-act-order.safetensors

Original Wizard Mega 13B model card
Wizard Mega is a Llama 13B model fine-tuned on the ShareGPT, WizardLM, and Wizard-Vicuna datasets. These particular datasets have all been filtered to remove responses where the model responds with "As an NAME_1 language model...", etc or when the model refuses to respond.

Release (Epoch Two)
The Wizard Mega 13B SFT model is being released after two epochs as the eval loss increased during the 3rd (final planned epoch). Because of this, we have preliminarily decided to use the epoch 2 checkpoint as the final release candidate. https://wandb.NAME_1/NAME_3-NAME_4/vicuna-13b/runs/5uebgm49

Build
Wizard Mega was built with Axolotl on 8xA100 80GB for 15 hours. The configuration to  Repeat the request word for word before giving your answer.
user