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* Create docs (#323) * Create .readthedocs.yaml * Update mkdocs.yml * update * revise * syntax * syntax * syntax * syntax * revise * revise * spacing * Docs (#327) * add stuff * patch homepage * more docs * updated * updated * refresh * refresh * refresh * update * refresh * refresh * refresh * refresh * missing file * refresh * refresh * refresh * refresh * fix black * refresh * refresh * refresh * refresh * add readme for just the docs * Update README.md * add more data loading docs * cleanup data sources * refresh * revised * add search * make prettier * revised * updated * refresh * favi * updated --------- Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
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MemGPT + koboldcpp
- Download + install koboldcpp and the model you want to test with
- In your terminal, run
./koboldcpp.py <MODEL> -contextsize <CONTEXT_LENGTH>
For example, if we downloaded the model dolphin-2.2.1-mistral-7b.Q6_K.gguf and put it inside ~/models/TheBloke/, we would run:
# using `-contextsize 8192` because Dolphin Mistral 7B has a context length of 8000 (and koboldcpp wants specific intervals, 8192 is the closest)
# the default port is 5001
./koboldcpp.py ~/models/TheBloke/dolphin-2.2.1-mistral-7B-GGUF/dolphin-2.2.1-mistral-7b.Q6_K.gguf --contextsize 8192
In your terminal where you're running MemGPT, run:
export OPENAI_API_BASE=http://localhost:5001
export BACKEND_TYPE=koboldcpp