Upload README.md

README.md

@@ -99,7 +99,7 @@ Models are released as sharded safetensors files.
 
 | Branch | Bits | GS | AWQ Dataset | Seq Len | Size |
 | ------ | ---- | -- | ----------- | ------- | ---- |
-| [main](https://huggingface.co/TheBloke/Synatra-7B-v0.3-RP-AWQ/tree/main) | 4 | 128 | japanese | 4096 | 4.15 GB
+| [main](https://huggingface.co/TheBloke/Synatra-7B-v0.3-RP-AWQ/tree/main) | 4 | 128 | [korean](https://huggingface.co/datasets/beomi/KoAlpaca-v1.1a/viewer/) | 4096 | 4.15 GB
 
 <!-- README_AWQ.md-provided-files end -->
 
@@ -439,3 +439,16 @@ print(decoded[0])
 # Why It's benchmark score is lower than preview version?
 
 **Apparently**, Preview model uses Alpaca Style prompt which has no pre-fix. But ChatML do.
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_maywell__Synatra-7B-v0.3-RP)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 57.38   |
+| ARC (25-shot)         | 62.2          |
+| HellaSwag (10-shot)   | 82.29    |
+| MMLU (5-shot)         | 60.8         |
+| TruthfulQA (0-shot)   | 52.64   |
+| Winogrande (5-shot)   | 76.48   |
+| GSM8K (5-shot)        | 21.15        |
+| DROP (3-shot)         | 46.06         |