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README.md
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- Math
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##
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- [3.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/3.0bpw)
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- [4.0bpw (main)](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/main)
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- [6.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/6.0bpw)
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- [8.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/8.0bpw)
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Merge [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling) and [fblgit/juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA) using slerp merge.
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You can use ChatML format.
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- Math
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## EXL2 Quants
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Quantization
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- [3.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/3.0bpw)
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- [4.0bpw (main)](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/main)
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- [6.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/6.0bpw)
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- [8.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/8.0bpw)
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Zipped Quantization (if you want to download a single file directly)
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- [3.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/3.0bpw)
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- [4.0bpw (main)](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/main)
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- [6.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/6.0bpw)
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- [8.0bpw](https://huggingface.co/hgloow/Merged-AGI-7B-EXL2/tree/8.0bpw)
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## Merged-AGI-7B
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Merge [Q-bert/MetaMath-Cybertron-Starling](https://huggingface.co/Q-bert/MetaMath-Cybertron-Starling) and [fblgit/juanako-7b-UNA](https://huggingface.co/fblgit/juanako-7b-UNA) using slerp merge.
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You can use ChatML format.
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