Mirai's 2-bit trellis build of Qwen3.8-Flash-Next, packed for Strata, with a refusal vector and everything else it needs to run. It runs on one or two RTX 3090s with the experts in system RAM. `S/` holds Mirai's files byte for byte (the SHA256 match their repo). My part: the S-small GGUF (converted with Mirai's converter from their S-small trellis files), the refusal vector, the packaged MTP layer, the port of Mirai's Strata patch to Strata 0.2.0 (alesha-pro/Strata, upstream as Niko1221/Strata#3384), and the measurements below. The routed experts take 1 to 5 bits each, 2.4 on average for S. The second file of each size is the backbone and the head as trellis, which leaves more VRAM for experts. The quality numbers are Mirai's (37,620 positions against the bf16 model, measured outside Strata); for comparison they give 0.303 for ISTA's GSQ-RCO IQ2_XS. I did not check them.
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da-binary-emotion-classification-base
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da-emotion-classification-base
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