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+ ---
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+ license: wtfpl
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+ ---
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+ # CausalLM 34B β
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+ ## MT-Bench: 8.5
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+ ![mt-bench](https://cdn-uploads.huggingface.co/production/uploads/63468a143ea42ee2cb49ddd1/2vv2_nGbfWuOM8jwy40dn.png)
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+ ## Konwledge cutoff:
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+ ALL: 2023-06 (pretrained)
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+ **Some** General Knowledge and Politics: 2024-02-01
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+ ## Some contamination detection if you want to check:
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+ | Models | MMLU (ref: llama7b) | TBA |
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+ | ------------------------- | ------------------- | ---- |
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+ | microsoft/Orca-2-7b | 0.77 | |
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+ | mistralai/Mistral-7B-v0.1 | 0.46 | |
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+ | **CausalLM/34b-beta** | **0.38** | |
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+ | 01-ai/Yi-6B-200K | 0.3 | |
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+ data from https://huggingface.co/spaces/Yeyito/llm_contamination_detector
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+ It should be *safe*. It was not trained on the benchmark, but the contamination of the training dataset is unavoidable due to cost constraints.