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@@ -20,29 +20,32 @@ I have the following Koala model repositories available:
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  * [GPTQ quantized 4bit 7B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g)
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  * [GPTQ quantized 4bit 7B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g-GGML)
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- ## Quantization method
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-
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- This GPTQ model was quantized using [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) with the following commands:
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- ```
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- python3 llama.py /content/koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save /content/koala-7B-4bit-128g.pt
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- python3 llama.py /content/koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors /content/koala-7B-4bit-128g.safetensors
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- ```
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-
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- I used the latest Triton branch of `GPTQ-for-LLaMa` but they can also be loaded with the CUDA branch.
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-
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  ## Provided files
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- I have provided both a `pt` and `safetensors` file. Either should work.
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-
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- If both are present in the model directory for text-generation-webui I am not sure which it chooses, so you may want to place only one in the models folder.
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-
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- The `olderFormat` file was created with the aim of then converting it to GGML for use with [llama.cpp](https://github.com/ggerganov/llama.cpp). At present this file does not work.
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-
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- ## How to run with `text-generation-webui`
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-
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- GPTQ model files provided will not load as-is with [oobaboogas text-generation-webui](https://github.com/oobabooga/text-generation-webui).
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-
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- These model files require the latest version of the GPTQ code.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Here are the commands I used to clone the Triton branch of GPTQ-for-LLaMa, clone text-generation-webui, and install GPTQ into the UI:
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  ```
@@ -55,12 +58,12 @@ ln -s GPTQ-for-LLaMa text-generation-webui/repositories/GPTQ-for-LLaMa
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  Then install this model into `text-generation-webui/models` and launch the UI as follows:
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  ```
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  cd text-generation-webui
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- python server.py --model koala-7B-4bit-128g --wbits 4 --groupsize 128 --model_type Llama # add any other command line args you want
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  ```
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  The above commands assume you have installed all dependencies for GPTQ-for-LLaMa and text-generation-webui. Please see their respective repositories for further information.
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- If you cannot use the Triton branch of GPTQ for any reason, you can alternatively use the CUDA branch instead:
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  ```
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  git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa -b cuda
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  cd GPTQ-for-LLaMa
@@ -68,6 +71,8 @@ python setup_cuda.py install
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  ```
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  Then link that into `text-generation-webui/repositories` as described above.
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  ## How the Koala delta weights were merged
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  The Koala delta weights were originally merged using the following commands, producing [koala-7B-HF](https://huggingface.co/TheBloke/koala-7B-HF):
 
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  * [GPTQ quantized 4bit 7B model in `pt` and `safetensors` formats](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g)
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  * [GPTQ quantized 4bit 7B model in GGML format for `llama.cpp`](https://huggingface.co/TheBloke/koala-7B-GPTQ-4bit-128g-GGML)
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  ## Provided files
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+ Three model files are provided. You don't need all three - choose the one that suits your needs best!
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+
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+ Details of the files provided:
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+ * `koala-7B-4bit-128g.pt`
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+ * pt format file, created with the latest [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) code.
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+ * Command to create:
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+ * `python3 llama.py koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save koala-7B-4bit-128g.pt`
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+ * `koala-7B-4bit-128g.safetensors`
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+ * newer `safetensors` format, with improved file security, created with the latest [GPTQ-for-LLaMa](https://github.com/qwopqwop200/GPTQ-for-LLaMa) code.
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+ * Command to create:
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+ * `python3 llama.py koala-7B-HF c4 --wbits 4 --true-sequential --act-order --groupsize 128 --save_safetensors koala-7B-4bit-128g.safetensors`
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+ * `koala-7B-4bit-128g.no-act-order.ooba.pt`
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+ * `pt` format file, created with [oobabooga's older CUDA fork of GPTQ-for-LLaMa](https://github.com/oobabooga/GPTQ-for-LLaMa).
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+ * This file is included primarily for Windows users, as it can be used without needing to compile the latest GPTQ-for-LLaMa code.
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+ * It should hopefully therefore work with one-click-installers on Windows, which include the older GPTQ-for-LLaMa code.
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+ * The older GPTQ code does not support all the latest features, so the quality may be fractionally lower.
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+ * Command to create:
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+ * `python3 llama.py koala-7B-HF c4 --wbits 4 --true-sequential --groupsize 128 --save koala-7B-4bit-128g.no-act-order.ooba.pt`
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+
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+ ## How to run in `text-generation-webui`
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+
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+ File `koala-7B-4bit-128g.no-act-order.ooba.pt` can be loaded the same as any other GPTQ file, without requiring any updates to [oobaboogas text-generation-webui](https://github.com/oobabooga/text-generation-webui).
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+
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+ The other two model files were created with the latest GPTQ code, and require that the latest GPTQ-for-LLaMa is used inside the UI.
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  Here are the commands I used to clone the Triton branch of GPTQ-for-LLaMa, clone text-generation-webui, and install GPTQ into the UI:
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  ```
 
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  Then install this model into `text-generation-webui/models` and launch the UI as follows:
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  ```
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  cd text-generation-webui
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+ python server.py --model koala-13B-GPTQ-4bit-128g --wbits 4 --groupsize 128 --model_type Llama # add any other command line args you want
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  ```
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  The above commands assume you have installed all dependencies for GPTQ-for-LLaMa and text-generation-webui. Please see their respective repositories for further information.
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+ If you are on Windows, or cannot use the Triton branch of GPTQ for any other reason, you can instead use the CUDA branch:
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  ```
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  git clone https://github.com/qwopqwop200/GPTQ-for-LLaMa -b cuda
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  cd GPTQ-for-LLaMa
 
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  ```
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  Then link that into `text-generation-webui/repositories` as described above.
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+ Or just use `koala-7B-4bit-128g.no-act-order.ooba.pt` as mentioned above.
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+
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  ## How the Koala delta weights were merged
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  The Koala delta weights were originally merged using the following commands, producing [koala-7B-HF](https://huggingface.co/TheBloke/koala-7B-HF):