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README.md ADDED Viewed

+---
+license: other
+license_name: yi-license
+license_link: https://huggingface.co/01-ai/Yi-34B-200K/blob/main/LICENSE
+base_model: jondurbin/bagel-34b-v0.2
+---
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/pf4d6FA7DriRtVq5HCkxd.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64c14f6b02e1f8f67c73bd05/e4u8VYfDBh11u60rFYJHF.png)
+This model is a finetune of jondurbin's excellent [bagel](https://huggingface.co/jondurbin/bagel-34b-v0.2) model.
+It has been trained with new datasets and a new technique, which we will share to the community soon.
+This model has not utilised any form of merging.
+### Evaluation Results
+| Average | ARC | HellaSwag | MMLU | TruthfulQA | Winogrande | GSM8K |
+| --- | --- | --- | --- | --- | --- | --- |
+|  77.29  | 74.23 | 86.76  | 76.66 | 70.22 | 83.66 | 72.18 |
+### Contamination Results
+With reference model jondurbin/bagel-34b-v0.2:
+| ARC | TruthfulQA | GSM8K |
+| --- | --- | --- |
+| 0.08| 0.38| 0.88|
+***
+Vanilla Quantization by [nold](https://huggingface.co/nold), Original Model [abacusai/Smaug-34B-v0.1](https://huggingface.co/abacusai/Smaug-34B-v0.1). Created using [llm-quantizer](https://github.com/Nold360/llm-quantizer) Pipeline - 465d7970507dcaac4cb50221157a68c840965774

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