https://web.archive.org/web/20230516163723/https://twitter.com/erhartford/status/1658336968936411136
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
Wizard Mega 13B
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 AI language model...", etc or when the model refuses to respond.
Demo
Try out the model in HF Spaces. The demo uses a quantized GGML version of the model to quickly return predictions on smaller GPUs (and even CPUs). Quantized GGML may have some minimal loss of model quality.
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.
wing-lian[/U]
Build
Wizard Mega was built with
Axolotl on 8xA100 80GB for 15 hours. The configuration to duplicate this build is provided in this repo's
/config folder.
Bias, Risks, and Limitations
Wizard Mega has not been aligned to human preferences with techniques like RLHF or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so). Wizard Mega was fine-tuned from the base model LlaMa 13B, please refer to its model card's Limitations Section for relevant information.
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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
huggingface.co
This repo contains 4bit GPTQ format quantised models of
OpenAccess AI Collective's Wizard Mega 13B.
It is the result of quantising to 4bit using
GPTQ-for-LLaMa.
Repositories available
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:
python llama.py /workspace/models/openaccess-ai-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 AI 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.
wing-lian[/U]