Create README.md

README.md

@@ -0,0 +1,56 @@
+---
+inference: false
+license: other
+---
+
+# 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).
+
+## Other repositories available
+
+* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/TheBloke/guanaco-33B-GPTQ)
+* [4-bit, 5-bit and 8-bit GGML models for CPU(+GPU) inference](https://huggingface.co/TheBloke/guanaco-33B-GGML)
+* [Original unquantised fp16 model in HF format](https://huggingface.co/timdettmers/guanaco-33b-merged)
+
+## 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
+    ```
+   
+# Original model card
+
+Not provided by original model creator.