---
inference: false
license: other
---
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# Tim Dettmers' Guanaco 33B GPTQ

These files are GPTQ 4bit model files for [Tim Dettmers' Guanaco 33B](https://huggingface.co./timdettmers/guanaco-33b-merged).

It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).

## Repositories available

* [4-bit GPTQ models for GPU inference](https://huggingface.co./TheBloke/guanaco-33B-GPTQ)
* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co./TheBloke/guanaco-33B-GGML)
* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co./timdettmers/guanaco-33b-merged)

## Prompt template

```
### Human: prompt
### Assistant:
```

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

Open the text-generation-webui UI as normal.

1. Click the **Model tab**.
2. Under **Download custom model or LoRA**, enter `TheBloke/guanaco-33B-GPTQ`.
3. Click **Download**.
4. Wait until it says it's finished downloading.
5. Click the **Refresh** icon next to **Model** in the top left.
6. In the **Model drop-down**: choose the model you just downloaded, `guanaco-33B-GPTQ`.
7. If you see an error in the bottom right, ignore it - it's temporary.
8. Fill out the `GPTQ parameters` on the right: `Bits = 4`, `Groupsize = None`, `model_type = Llama`
9. Click **Save settings for this model** in the top right.
10. Click **Reload the Model** in the top right.
11. Once it says it's loaded, click the **Text Generation tab** and enter a prompt!

## Provided files

**Compatible file - Guanaco-33B-GPTQ-4bit.act-order.safetensors**

In the `main` branch you will find `Guanaco-33B-GPTQ-4bit.act-order.safetensors`

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

It was created without groupsize to minimise VRAM requirements, to keep it under 24GB VRAM. It was created with the `--act-order` parameter to maximise accuracy.

* `Guanaco-33B-GPTQ-4bit.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 = None. --act-order.
  * Command used to create the GPTQ:
    ```
    python llama.py /workspace/process/TheBloke_guanaco-33B-GGML/HF  wikitext2 --wbits 4 --true-sequential --act-order --save_safetensors /workspace/process/TheBloke_guanaco-33B-GGML/gptq/Guanaco-33B-GPTQ-4bit.act-order.safetensors
    ```

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## Discord

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

[TheBloke AI's Discord server](https://discord.gg/Jq4vkcDakD)

## Thanks, and how to contribute.

Thanks to the [chirper.ai](https://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

**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!
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# Original model card

Not provided by original model creator.