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This repo contains 4bit GPTQ format quantised models of Nomic.AI's GPT4all-13B-snoozy .

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

Repositories available

• 4bit GPTQ models for GPU inference .
• 4bit and 5bit GGML models for GPU inference .
• Nomic.AI's original model in float32 HF for GPU inference .

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

Open the text-generation-webui UI as normal.

Provided files

Compatible file - GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors

In the main branch - the default one - you will find GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors

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

It was created without the --act-order parameter. It may have slightly lower inference quality compared to the other file, but is guaranteed to work on all versions of GPTQ-for-LLaMa and text-generation-webui.

• GPT4ALL-13B-GPTQ-4bit-128g.compat.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
  • Parameters: Groupsize = 128g. No act-order.
  • Command used to create the GPTQ:

    CUDA_VISIBLE_DEVICES=0 python3 llama.py GPT4All-13B-snoozy c4 --wbits 4 --true-sequential --groupsize 128 --save_safetensors GPT4ALL-13B-GPTQ-4bit-128g.compat.no-act-order.safetensors
    

Discord

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

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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.

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Patreon special mentions : Aemon Algiz, Dmitriy Samsonov, Nathan LeClaire, Trenton Dambrowitz, Mano Prime, David Flickinger, vamX, Nikolai Manek, senxiiz, Khalefa Al-Ahmad, Illia Dulskyi, Jonathan Leane, Talal Aujan, V. Lukas, Joseph William Delisle, Pyrater, Oscar Rangel, Lone Striker, Luke Pendergrass, Eugene Pentland, Sebastain Graf, Johann-Peter Hartman.

Thank you to all my generous patrons and donaters!

Original Model Card for GPT4All-13b-snoozy

An Apache-2 licensed chatbot trained over a massive curated corpus of assistant interactions including word problems, multi-turn dialogue, code, poems, songs, and stories.

Model Details

Model Description

This model has been finetuned from LLama 13B

• Developed by: Nomic AI
• Model Type: A finetuned LLama 13B model on assistant style interaction data
• Language(s) (NLP): English
• License: Apache-2
• Finetuned from model [optional]: LLama 13B

This model was trained on nomic-ai/gpt4all-j-prompt-generations using revision=v1.3-groovy

Model Sources [optional]

• Repository: https://github.com/nomic-ai/gpt4all
• Base Model Repository: https://github.com/facebookresearch/llama
• Demo [optional]: https://gpt4all.io/

Results

Results on common sense reasoning benchmarks

  Model                     BoolQ       PIQA     HellaSwag   WinoGrande    ARC-e      ARC-c       OBQA
  ----------------------- ---------- ---------- ----------- ------------ ---------- ---------- ----------
  GPT4All-J 6B v1.0          73.4       74.8       63.4         64.7        54.9       36.0       40.2
  GPT4All-J v1.1-breezy      74.0       75.1       63.2         63.6        55.4       34.9       38.4
  GPT4All-J v1.2-jazzy       74.8       74.9       63.6         63.8        56.6       35.3       41.0
  GPT4All-J v1.3-groovy      73.6       74.3       63.8         63.5        57.7       35.0       38.8
  GPT4All-J Lora 6B          68.6       75.8       66.2         63.5        56.4       35.7       40.2
  GPT4All LLaMa Lora 7B      73.1       77.6       72.1         67.8        51.1       40.4       40.2
  GPT4All 13B snoozy        *83.3*      79.2       75.0        *71.3*       60.9       44.2       43.4
  Dolly 6B                   68.8       77.3       67.6         63.9        62.9       38.7       41.2
  Dolly 12B                  56.7       75.4       71.0         62.2       *64.6*      38.5       40.4
  Alpaca 7B                  73.9       77.2       73.9         66.1        59.8       43.3       43.4
  Alpaca Lora 7B             74.3      *79.3*      74.0         68.8        56.6       43.9       42.6
  GPT-J 6B                   65.4       76.2       66.2         64.1        62.2       36.6       38.2
  LLama 7B                   73.1       77.4       73.0         66.9        52.5       41.4       42.4
  LLama 13B                  68.5       79.1      *76.2*        70.1        60.0      *44.6*      42.2
  Pythia 6.9B                63.5       76.3       64.0         61.1        61.3       35.2       37.2
  Pythia 12B                 67.7       76.6       67.3         63.8        63.9       34.8       38.0
  Vicuña T5                  81.5       64.6       46.3         61.8        49.3       33.3       39.4
  Vicuña 13B                 81.5       76.8       73.3         66.7        57.4       42.7       43.6
  Stable Vicuña RLHF         82.3       78.6       74.1         70.9        61.0       43.5      *44.4*
  StableLM Tuned             62.5       71.2       53.6         54.8        52.4       31.1       33.4
  StableLM Base              60.1       67.4       41.2         50.1        44.9       27.0       32.0