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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
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+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+GPTNeo350M-Instruct-SFT - bnb 4bits
+- Model creator: https://huggingface.co/SummerSigh/
+- Original model: https://huggingface.co/SummerSigh/GPTNeo350M-Instruct-SFT/
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+
+
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+Original model description:
+---
+license: apache-2.0
+---
+
+# [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_SummerSigh__GPTNeo350M-Instruct-SFT)
+
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | 27.03   |
+| ARC (25-shot)         | 25.94          |
+| HellaSwag (10-shot)   | 38.55    |
+| MMLU (5-shot)         | 25.76         |
+| TruthfulQA (0-shot)   | 45.25   |
+| Winogrande (5-shot)   | 50.2   |
+| GSM8K (5-shot)        | 0.3        |
+| DROP (3-shot)         | 3.24         |
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+