TheBloke/WizardLM-30B-GPTQ

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TheBloke's LLM work is generously supported by a grant from andreessen horowitz (a16z)

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WizardLM's WizardLM 30B v1.0 GPTQ

These files are GPTQ 4bit model files for WizardLM's WizardLM 30B v1.0.

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

Other repositories available

• 4-bit GPTQ models for GPU inference
• 4-bit, 5-bit and 8-bit GGML models for CPU(+GPU) inference
• Unquantised fp16 model in pytorch format, for GPU inference and for further conversions

Prompt template

A chat between a curious user and an artificial intelligence assistant.
The assistant gives helpful, detailed, and polite answers to the user's questions.
USER: prompt goes here
ASSISTANT:

How to easily download and use this model in text-generation-webui

Downloading the model

1. Click the Model tab.
2. Under Download custom model or LoRA, enter TheBloke/WizardLM-30B-GPTQ.
3. Click Download.
4. Wait until it says it's finished downloading.
5. Untick "Autoload model"
6. Click the Refresh icon next to Model in the top left.

To use with AutoGPTQ (if installed)

1. In the Model drop-down: choose the model you just downloaded, WizardLM-30B-GPTQ.
2. Under GPTQ, tick AutoGPTQ.
3. Click Save settings for this model in the top right.
4. Click Reload the Model in the top right.
5. Once it says it's loaded, click the Text Generation tab and enter a prompt!

To use with GPTQ-for-LLaMa

1. In the Model drop-down: choose the model you just downloaded, WizardLM-30B-GPTQ.
2. If you see an error in the bottom right, ignore it - it's temporary.
3. Fill out the GPTQ parameters on the right: Bits = 4, Groupsize = -1, model_type = Llama
4. Click Save settings for this model in the top right.
5. Click Reload the Model in the top right.
6. Once it says it's loaded, click the Text Generation tab and enter a prompt!

Provided files

wizardlm-30b-GPTQ-4bit--1g.act.order.safetensors

This will work with all versions of GPTQ-for-LLaMa, and with AutoGPTQ.

It was created without group_size to lower VRAM requirements, and with --act-order (desc_act) to boost inference accuracy as much as possible.

• wizardlm-30b-GPTQ-4bit--1g.act.order.safetensors
  • Works with all versions of GPTQ-for-LLaMa code, both Triton and CUDA branches
  • Works with AutoGPTQ
  • Works with text-generation-webui one-click-installers
  • Parameters: Groupsize = -1. Act Order / desc_act = True.

Discord

For further support, and discussions on these models and AI in general, join us at:

TheBloke AI's Discord server

Thanks, and how to contribute.

Thanks to the 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

Special thanks to: Aemon Algiz.

Patreon special mentions: Sam, theTransient, Jonathan Leane, Steven Wood, webtim, Johann-Peter Hartmann, Geoffrey Montalvo, Gabriel Tamborski, Willem Michiel, John Villwock, Derek Yates, Mesiah Bishop, Eugene Pentland, Pieter, Chadd, Stephen Murray, Daniel P. Andersen, terasurfer, Brandon Frisco, Thomas Belote, Sid, Nathan LeClaire, Magnesian, Alps Aficionado, Stanislav Ovsiannikov, Alex, Joseph William Delisle, Nikolai Manek, Michael Davis, Junyu Yang, K, J, Spencer Kim, Stefan Sabev, Olusegun Samson, transmissions 11, Michael Levine, Cory Kujawski, Rainer Wilmers, zynix, Kalila, Luke @flexchar, Ajan Kanaga, Mandus, vamX, Ai Maven, Mano Prime, Matthew Berman, subjectnull, Vitor Caleffi, Clay Pascal, biorpg, alfie_i, 阿明, Jeffrey Morgan, ya boyyy, Raymond Fosdick, knownsqashed, Olakabola, Leonard Tan, ReadyPlayerEmma, Enrico Ros, Dave, Talal Aujan, Illia Dulskyi, Sean Connelly, senxiiz, Artur Olbinski, Elle, Raven Klaugh, Fen Risland, Deep Realms, Imad Khwaja, Fred von Graf, Will Dee, usrbinkat, SuperWojo, Alexandros Triantafyllidis, Swaroop Kallakuri, Dan Guido, John Detwiler, Pedro Madruga, Iucharbius, Viktor Bowallius, Asp the Wyvern, Edmond Seymore, Trenton Dambrowitz, Space Cruiser, Spiking Neurons AB, Pyrater, LangChain4j, Tony Hughes, Kacper Wikieł, Rishabh Srivastava, David Ziegler, Luke Pendergrass, Andrey, Gabriel Puliatti, Lone Striker, Sebastain Graf, Pierre Kircher, Randy H, NimbleBox.ai, Vadim, danny, Deo Leter

Thank you to all my generous patrons and donaters!

And thank you again to a16z for their generous grant.

Original model card: WizardLM's WizardLM 30B v1.0

This is WizardLM-30B V1.0 delta weight.

Project Repo: https://github.com/nlpxucan/WizardLM

NOTE: The WizardLM-30B-V1.0 & WizardLM-13B-V1.0 use different prompt with Wizard-7B-V1.0 at the beginning of the conversation:

1. For WizardLM-30B-V1.0 & WizardLM-13B-V1.0 , the Prompt should be as following:

"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: hello, who are you? ASSISTANT:"

2. For WizardLM-7B-V1.0 , the Prompt should be as following:

"{instruction}\n\n### Response:"