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--- |
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inference: false |
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language: |
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- en |
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tags: |
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- llama |
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- text-generation-inference |
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--- |
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# lmsys's Longchat-7B-v1.5-32k GGML |
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These files are GGML format model files for [lmsys's Longchat-7B-v1.5-32k](https://huggingface.co/lmsys/longchat-7b-v1.5-32k). |
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GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/ggerganov/llama.cpp) and libraries and UIs which support this format, such as: |
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* [text-generation-webui](https://github.com/oobabooga/text-generation-webui) |
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* [KoboldCpp](https://github.com/LostRuins/koboldcpp) |
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* [ParisNeo/GPT4All-UI](https://github.com/ParisNeo/gpt4all-ui) |
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* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) |
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* [ctransformers](https://github.com/marella/ctransformers) |
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## How to run in `llama.cpp` |
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I use the following command line, adjust for your tastes and needs: |
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``` |
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./main -t 2 -ngl 32 -m longchat-7b-v1.5-32k.ggmlv3.q4_0.bin --color --rope-freq-scale 0.25 --rope-freq-base 347620 -c 32768 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "prompt goes here" |
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``` |
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Change `-t 2` to the number of physical CPU cores you have. For example if your system has 8 cores/16 threads, use `-t 8`. |
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Change `-ngl 26` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration. |
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If you want to have a chat-style conversation, replace the `-p <PROMPT>` argument with `-i -ins`, you can use `--interactive-first` to start in interactive mode. |
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## Compatibility |
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I have uploded bothe the original llama.cpp quant methods (`q4_0, q4_1, q5_0, q5_1, q8_0`) as well as the new k-quant methods (`q2_K, q3_K_S, q3_K_M, q3_K_L, q4_K_S, q4_K_M, q5_K_S, q6_K`). |
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Please refer to [llama.cpp](https://github.com/ggerganov/llama.cpp) and [TheBloke](https://huggingface.co/TheBloke)'s GGML models for further explanation. |
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## How to run in `text-generation-webui` |
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Further instructions here: [text-generation-webui/docs/llama.cpp-models.md](https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md). |
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## Thanks |
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Thanks to [TheBloke](https://huggingface.co/TheBloke) for inspiration and providing almost all of the readme here! |
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Thanks to [lmsys](https://huggingface.co/lmsys) for providing checkpoints of the model. |
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Thanks to [Georgi Gerganov](https://github.com/ggerganov) and all of the awesome people in the AI community. |
