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  1. README.md +2 -2
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  license: gpl-3.0
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  metrics:
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  - perplexity
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- pipeline_tag: conversational
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  tags:
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  - LLaMa
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  - text-generation-inference
@@ -38,4 +38,4 @@ Check https://github.com/ggerganov/llama.cpp#quantization for details on the dif
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  I recommend the following settings when running as a good starting point: ```main.exe -m ggml-LLaMa-65B-q4_0.bin -n -1 -t 42 -c 2048 --temp 0.4 --interactive-first --repeat_penalty 1.2 --color```
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- Be aware that LLaMa is a text generation model, not a conversational one, and as such you will have to prompt it differently than, for example, Vicuna or ChatGPT. (Despite the pipeline tag)
 
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  license: gpl-3.0
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  metrics:
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  - perplexity
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+ pipeline_tag: text-generation
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  tags:
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  - LLaMa
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  - text-generation-inference
 
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  I recommend the following settings when running as a good starting point: ```main.exe -m ggml-LLaMa-65B-q4_0.bin -n -1 -t 42 -c 2048 --temp 0.4 --interactive-first --repeat_penalty 1.2 --color```
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+ Be aware that LLaMa is a text generation model, not a conversational one, and as such you will have to prompt it differently than, for example, Vicuna or ChatGPT.