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README.md
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@@ -34,6 +34,12 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
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* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/BigTrans-13B-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/James-WYang/BigTrans)
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<!-- compatibility_ggml start -->
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## Compatibility
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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 10 -ngl 32 -m bigtrans-13b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction:
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```
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Change `-t 10` 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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* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/BigTrans-13B-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/James-WYang/BigTrans)
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## Prompt format: Alpaca
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```
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### Instruction: please translate the following into French: Large language models are the future
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### Response:
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```
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<!-- compatibility_ggml start -->
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## Compatibility
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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 10 -ngl 32 -m bigtrans-13b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "### Instruction: please translate the following into French: llamas are cute and fluffy and make excellent guards.\n### Response:"
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```
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Change `-t 10` 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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