Text Generation
Transformers
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4 papers
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@@ -73,7 +73,7 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
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  ## Repositories available
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  * [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/minotaur-15B-GPTQ)
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- * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/TheBloke/minotaur-15B-GGML)
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  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/openaccess-ai-collective/minotaur-15b)
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  ## A note regarding context length
 
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  ## Repositories available
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  * [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/minotaur-15B-GPTQ)
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+ * [2, 3, 4, 5, 6 and 8-bit GGML models for CPU inference](https://huggingface.co/TheBloke/minotaur-15B-GGML)
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  * [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/openaccess-ai-collective/minotaur-15b)
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  ## A note regarding context length