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README.md
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@@ -34,6 +34,25 @@ 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/tulu-30B-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/TheBloke/tulu-30B-fp16)
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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 tulu-30b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "
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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/tulu-30B-GGML)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/TheBloke/tulu-30B-fp16)
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## Prompt template
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The following template should be used:
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```
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<|user|>
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prompt goes here
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<|assistant|>
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```
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**Note**: There should be a newline after `<|assistant|>`. This appears to be very important for getting this model to respond correctly.
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In other words, the prompt is:
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```
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<|user|>\nprompt goes here\n<|assistant|>\n
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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 tulu-30b.ggmlv3.q5_0.bin --color -c 2048 --temp 0.7 --repeat_penalty 1.1 -n -1 -p "<|user|>\nwrite a story about llamas\n<|assistant|>\n"
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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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