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README.md
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@@ -5,6 +5,11 @@ EXL3 quants of [Apertus-8B-Instruct-2509](https://huggingface.co/swiss-ai/Apertu
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[2.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/2.0bpw)
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[2.50 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/2.5bpw)
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[4.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/4.0bpw)
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[2.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/2.0bpw)
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[2.50 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/2.5bpw)
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[3.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/3.0bpw)
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[3.50 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/3.5bpw)
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[4.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/4.0bpw)
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[5.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/5.0bpw)
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[6.00 bits per weight](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/6.0bpw)
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[8.00 bits per weight / H8](https://huggingface.co/turboderp/Apertus-8B-Instruct-2509-exl3/tree/8.0bpw_H8)
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