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@@ -51,7 +51,7 @@ The pre-training corpus heavily leverages the publicly available corpus, includi
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  [SlimPajama](https://huggingface.co/datasets/cerebras/SlimPajama-627B),
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  [SkyPile](https://huggingface.co/datasets/Skywork/SkyPile-150B),
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  [CC100](https://huggingface.co/datasets/cc100) and [MADLAD-400](https://huggingface.co/datasets/allenai/MADLAD-400).
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- The instruction tuning corpus are all public available including
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  [aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection),
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  [aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset),
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  [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca).
@@ -71,7 +71,7 @@ make
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  pip install -r requirements.txt
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  # generate with llama.cpp
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- ./main -ngl 40 -m ggml-model-Q4_K_M.gguf -p "<|im_start|>question\nCara memanggang ikan?\n<|im_start|>answer\n" --temp 0.7 --repeat_penalty 1.1 -n 400 -e
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  ```
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  > Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.
 
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  [SlimPajama](https://huggingface.co/datasets/cerebras/SlimPajama-627B),
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  [SkyPile](https://huggingface.co/datasets/Skywork/SkyPile-150B),
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  [CC100](https://huggingface.co/datasets/cc100) and [MADLAD-400](https://huggingface.co/datasets/allenai/MADLAD-400).
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+ The instruction tuning corpus are all publicly available including
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  [aya_collection](https://huggingface.co/datasets/CohereForAI/aya_collection),
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  [aya_dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset),
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  [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca).
 
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  pip install -r requirements.txt
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  # generate with llama.cpp
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+ ./main -ngl 32 -m ggml-model-Q4_K_M.gguf -p "<|im_start|>question\nCara memanggang ikan?\n<|im_start|>answer\n" --temp 0.7 --repeat_penalty 1.1 -n 400 -e
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  ```
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  > Change `-ngl 32` to the number of layers to offload to GPU. Remove it if you don't have GPU acceleration.