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Llama-3-ELYZA-JP-8B-GGUF

Inference Endpoints

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passaglia commited on Jun 25

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@@ -23,7 +23,7 @@ For more details, please refer to [our blog post](https://note.com/elyza/n/n360b
 We have prepared two quantized model options, GGUF and AWQ. This is the GGUF (Q4_K_M) model, converted using [llama.cpp](https://github.com/ggerganov/llama.cpp).
-Here is a table showing the performance degradation due to quantization.
 | Model | ELYZA-tasks-100 GPT4 score |
 | :-------------------------------- | ---: |

 We have prepared two quantized model options, GGUF and AWQ. This is the GGUF (Q4_K_M) model, converted using [llama.cpp](https://github.com/ggerganov/llama.cpp).
+The following table shows the performance degradation due to quantization:
 | Model | ELYZA-tasks-100 GPT4 score |
 | :-------------------------------- | ---: |