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Model: Ba2han/BruinsV2-OpHermesNeu-11B Source: Original Platform
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README.md
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README.md
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license: mit
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---
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| Task |Version| Metric |Value | |Stderr|
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|-------------|------:|--------|-----:|---|-----:|
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|arc_challenge| 0|acc |0.6527|± |0.0139|
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| | |acc_norm|0.6869|± |0.0136|
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**Warning! This model may or may not be contaminated [See discussion 474](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard/discussions/474). What a shame. It still does perform well though**
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A passthrough merge of OpenHermes-2.5-neural-chat-7b-v3-1 and Bruins-V2. To be updated.
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Template: ChatML
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My settings:
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Temperature: 0.7-0.8
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Min_p: 0.12
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Top_K: 0
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Repetition Penalty: 1.16
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Mirostat Tau: 2.5-3
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Mirostat Eta: 0.12
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Personal Thoughts:
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- The model sometimes throws wrong tags, you can add those to "Custom stopping strings" in Oobabooga.
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- Output with Mirostat consistently felt smarter than a set Top_K rate.
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Note: The model is hallucinating hard in chat mode for me in some instances, like writing adblocker messages. Kind of funny.
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I am not sure which dataset involved was poisoned.
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