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yeasah releases 6bpw EXL3 quantization of Qwen3.8-27B

AI summary

yeasah released a 6bpw EXL3 quantization of Qwen3.8-27B, according to a Reddit post and the linked model listing. The reported comparison gives it a mean KLD of 0.0002, a 23 GB file size, and 18.8 GiB of VRAM for weights, making it the lowest-KLD result listed in that table.

In-depth insight

The reported compression and fidelity figures may be useful to local AI users comparing Qwen3.8-27B quantizations, although the results have not been independently verified.

Noticed this new EXL3 quant of 3.8-27B which achieves lowest KLD than anyone else and does it using only 18.8 GiB VRAM for weights. Pretty impressive numbers!

https://huggingface.co/yeasah/Qwen3.8-27B-exl3

makerquantKLD meanfile size
yeasah6bpw0.000223 GB
UnslothQ8_K_XL0.000531.5 GB
MinachistINT8 AutoRound attn-bf160.0005636.9 GB
turboderp6bpw SC0.000623 GB

submitted by /u/suprjami [link] [comments]

#yeasah#Qwen3.8-27B#EXL3

Original · 1 min readRead the original
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