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license: wtfpl
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# CausalLM 34B β

## MT-Bench: 8.5

![mt-bench](https://cdn-uploads.huggingface.co/production/uploads/63468a143ea42ee2cb49ddd1/2vv2_nGbfWuOM8jwy40dn.png)

## Konwledge cutoff:

ALL: 2023-06 (pretrained)

**Some** General Knowledge and Politics: 2024-02-01


## Some contamination detection if you want to check:

| Models                    | MMLU (ref: llama7b) | TBA  |
| ------------------------- | ------------------- | ---- |
| microsoft/Orca-2-7b       | 0.77                |      |
| mistralai/Mistral-7B-v0.1 | 0.46                |      |
| **CausalLM/34b-beta**     | **0.38**            |      |
| 01-ai/Yi-6B-200K          | 0.3                 |      |

data from https://huggingface.co/spaces/Yeyito/llm_contamination_detector

It should be *safe*. It was not trained on the benchmark, but the contamination of the training dataset is unavoidable due to cost constraints.