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README.md
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@@ -30,22 +30,10 @@ We used the SOTA(State Of The Art) [Language Model Evaluation Harness](https://g
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The following is the performance under 0-shot testing, mostly better than acrastt/Marx-3B-V2
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| **Task/Metric** | CobraMamba/mamba-gpt-3b-v4 | acrastt/Marx-3B-V2 |
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| ---------------------- | -------- | ------------ |
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| anli_r1/acc | **0.33** | 0.31 |
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| anli_r2/acc | 0.342 | **0.345** |
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| anli_r3/acc | 0.35 | 0.36 |
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| arc_challenge/acc | **0.37** | 0.33 |
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hf-causal (pretrained=CobraMamba/mamba-gpt-3b-v4), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
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The training code and data will be open sourced later on Github(https://github.com/chi2liu/mamba-gpt-3b).
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The following is the performance under 0-shot testing, mostly better than acrastt/Marx-3B-V2
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hf-causal (pretrained=CobraMamba/mamba-gpt-3b-v4), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
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The training code and data will be open sourced later on Github(https://github.com/chi2liu/mamba-gpt-3b).
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