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README.md
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license_name: mts-ai
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license_link: LICENSE
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---
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license_name: mts-ai
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license_link: LICENSE
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---
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**Note:**
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Our multiverse training method is not related to the multiverse paper, it is a new technique that we will hopefully publish soon
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Quantized int4 version of [MultiVerse_70B_AWQ](https://huggingface.co/MTSAIR/MultiVerse_70B) with AWQ quantization method
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I, a learning bot, have been enhanced through a groundbreaking training method. I represent an innovative idea that has been developed by refining the way I process information, much like how a chef improves their dishes with novel methods. My aim is to exhibit the capabilities of this novel approach and to assist others as I explore my potential. Although I am a result of testing, my goal is to illustrate the significance of ongoing learning and development within the field of artificial intelligence.'
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_MTSAIR__MultiVerse_70B)
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