Upload README.md

README.md

@@ -32,7 +32,7 @@ ELIZA-Tasks-100 is pretty standard benchmark for Japanese LLMs.
 The perfect score is 5.00. As a reference, bartowski's gemma-2-27b-it.Q6_K.gguf scores 4.04.
 
 | Filename | Quant type | File Size | Split | ELIZA-Tasks-100 | Nvidia 3090 | Description |
-| -------- | ---------- | --------- | ----- | --------------- | ----------- |
+| -------- | ---------- | --------- | ----- | --------------- | ----------- | ----------- |
 | [gemma-2-2b-jpn-it.f16.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.f16.gguf) | f16 | 5.24GB | false | 2.90 | 98t/s | Full F16 weights. |
 | [gemma-2-2b-jpn-it.Q8_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it.Q8_0.gguf) | Q8_0 | 2.78GB | false | 3.06 | 140t/s | Extremely high quality, *recommended*. |
 | [gemma-2-2b-jpn-it-imatrix.Q4_0.gguf](https://huggingface.co/ymcki/gemma-2-2b-jpn-it-GGUF/blob/main/gemma-2-2b-jpn-it-imatrix.Q4_0.gguf) | Q4_0 | 1.63GB | false | 2.89 | 137t/s | Good quality, *recommended for edge device <8GB RAM*. |