Initial GPTQ model commit

README.md

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+---
+inference: false
+license: other
+---
+
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+
+# Eric Hartford's Based 30B GPTQ
+
+These files are GPTQ 4bit model files for [Eric Hartford's Based 30B](https://huggingface.co/ehartford/based-30b).
+
+It is the result of quantising to 4bit using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa).
+
+## Other repositories available
+
+* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/based-30B-GPTQ)
+* [4-bit, 5-bit and 8-bit GGML models for CPU(+GPU) inference](https://huggingface.co/TheBloke/based-30B-GGML)
+* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/ehartford/based-30b)
+
+## 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/based-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, `based-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, `based-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
+
+**based-30b-GPTQ-4bit--1g.act.order.safetensors**
+
+This will work with all versions of GPTQ-for-LLaMa, and with AutoGPTQ.
+
+It was created withIt was created without group_size to lower VRAM requirements, and with --act-order (desc_act) to boost inference accuracy as much as possible.
+
+* `based-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.
+   
+<!-- footer start -->
+## Discord
+
+For further support, and discussions on these models and AI in general, join us at:
+
+[TheBloke AI's Discord server](https://discord.gg/UBgz4VXf)
+
+## 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; Dmitiry Samsonov; Jonathan Leane; Illia Dulskyi; Khalefa Al-Ahmad; Nikolai Manek; senxiiz; Talal Aujan; vamX; Eugene Pentland; Lone Striker; Luke Pendergrass; Johann-Peter Hartmann.
+
+Thank you to all my generous patrons and donaters.
+<!-- footer end -->
+   
+# Original model card: Eric Hartford's Based 30B