test

README.md

@@ -102,12 +102,12 @@ Also, the score may change as a result of more tuning.
     | weblab-10b-instruction-sft | 78.78 | 74.35 | 65.65 | 96.06 | 79.04 | [original instruction model](https://huggingface.co/matsuo-lab/weblab-10b-instruction-sft) |
     | *weblab-10b-instruction-sft-GPTQ first tuning* | 69.72 | 74.53 | 41.70 | 89.95 | 72.69 | deleted |
     | *weblab-10b-instruction-sft-GPTQ second tuning* | 74.59 | 74.08 | 60.72 | 91.85 | 71.70 | deleted |
-    | *weblab-10b-instruction-sft-GPTQ third tuning* | 77.62 | 73.19 | 69.26 | 95.91 | 72.10 | current model. replaced on August 26th |
+    | *weblab-10b-instruction-sft-GPTQ third tuning* | 77.62 | 73.19 | 69.26 | 95.91 | 72.10 | deleted |
     | *weblab-10b-instruction-sft-GPTQ 4th tuning* | - | - | 14.5 | 85.46 | - | abandoned |
-    | *weblab-10b-instruction-sft-GPTQ 5th tuning* | - | 19.30 | - | - | - | abandoned |
+    | *weblab-10b-instruction-sft-GPTQ 5th tuning* | - | - | - | - | -| current model. replaced on Nov 10 |
 
 
   
 ## about this work
 - **This Quantization work was done by :** [webbigdata](https://webbigdata.jp/).
-- [related documentation like fine-turning in Japanesse is here.](https://webbigdata.jp/post-20104/)
+- [related documentation like fine-turning in Japanesse is here.](https://webbigdata.jp/post-20104/)

gptq_model-4bit-128g.safetensors

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model.safetensors

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