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execveat/wizardLM-13b-ggml-4bit
wizardLM-13b-ggml-4bit is a machine learning model from execveat. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gpl-3.0.
This is https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-13 converted into GGML format, supported by llama.cpp.
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Updated May 8, 2023
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From the Hugging Face model README
This is https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-13 converted into GGML format, supported by llama.cpp.
If used in an instruct mode this model is very picky about the newlines. For some reason it insists on having the following format:
### Instruction:
(instruction text here)
### Response:
(leave this for the model to fill)
Note that generally the alpacas only have one newline before '### Instruction:' / '### Response' and the text. I might have somehow messed up conversion :(
pip install -U --pre torch torchvision -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
pip install -U llamacpp
mkdir models/wizardlm-13b/
mv ~/Downloads/ggml-model-q5_1.bin models/wizardlm-13b/
python server.py --cpu --threads 8 --chat --model=wizardlm-13b --model_type=llama --verbose
If using it in the instruction mode, you should also fix the prompt. Select the Alpaca template as a base, then go to 'Character' tab and modify Turn template with the following string: <|user|>\n\n<|user-message|>\n\n<|bot|>\n\n<|bot-message|>\n\n.
Sometimes the model just won't shut up, so go to Parameters tab and add the following 'Custom stopping string': "### Instruction:"
The 3) and 4) could probably be fixed by modifying settings.json
Please share other tips and tricks in https://huggingface.co/execveat/wizardLM-13b-ggml-q5_1/discussions