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Qwen3.8-27B-exl3 – AI Model by turboderp | AlphaNeural AI
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Qwen3.8-27B-exl3
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exl3
Qwen/Qwen3.8-27B
quantized
apache-2.0
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EXL3 quants of
Qwen3.8-27B
Calibration trace:
md
JSON
safetensors
Eval trace:
md
JSON
Self-calibrated quants:
Rightmost column are variants with quantized vision tower and require ExLlamaV3 v1.4.4 to work properly
1.40 bits per weight / H3
--
1.40 bits per weight / H3 / V3
1.60 bits per weight / H3
--
1.60 bits per weight / H3 / V3
1.80 bits per weight / H3
--
1.80 bits per weight / H3 / V3
2.00 bits per weight / H3
--
2.00 bits per weight / H3 / V3
2.20 bits per weight / H3
--
2.20 bits per weight / H3 / V3
3.00 bits per weight / H4
--
3.00 bits per weight / H4 / V4
4.00 bits per weight / H5
--
4.00 bits per weight / H5 / V6
5.00 bits per weight / H6
--
5.00 bits per weight / H6 / V6
6.00 bits per weight / H6
--
6.00 bits per weight / H6 / V6
Plain quants:
2.00 bits per weight
2.50 bits per weight
3.00 bits per weight
3.50 bits per weight
4.00 bits per weight
5.00 bits per weight
6.00 bits per weight
qbsg_kld_vram
qbsg_ppl_vram
qbsg_kld_hist_combined
