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@@ -38,8 +38,8 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
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  ## Repositories available
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- * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Dolpin-Llama-13B-GPTQ)
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- * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/Dolpin-Llama-13B-GGML)
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  * [Eric Hartford's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/ehartford/dolphin-llama-13b)
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  ## Prompt template: Orca-Vicuna
 
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  ## Repositories available
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+ * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Dolphin-Llama-13B-GPTQ)
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+ * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/Dolphin-Llama-13B-GGML)
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  * [Eric Hartford's original unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/ehartford/dolphin-llama-13b)
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  ## Prompt template: Orca-Vicuna