caba2f468c
* 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>
18 lines
718 B
Markdown
18 lines
718 B
Markdown
### MemGPT + llama.cpp
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1. Download + install [llama.cpp](https://github.com/ggerganov/llama.cpp) and the model you want to test with
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2. In your terminal, run `./server -m <MODEL> -c <CONTEXT_LENGTH>`
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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:
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```sh
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# using `-c 8000` because Dolphin Mistral 7B has a context length of 8000
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# the default port is 8080, you can change this with `--port`
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./server -m ~/models/TheBloke/dolphin-2.2.1-mistral-7B-GGUF/dolphin-2.2.1-mistral-7b.Q6_K.gguf -c 8000
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```
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In your terminal where you're running MemGPT, run:
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```sh
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export OPENAI_API_BASE=http://localhost:8080
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export BACKEND_TYPE=llamacpp
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```
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