Expert-pruned variant of FreeToken-Qwen3.5-35B-A3B-FP8: 46% of routed experts removed (241 of 512 kept per layer, selected by routing-count calibration), with no requantization — surviving FP8 tensors and block scales are byte-identical to the base. Router rows compacted and renumbered; MTP block pruned consistently. Teacher-forced logprob-equivalence (32 samples/domain, mean per-token delta vs base server; negative = worse): HumanEval pass@1 (temp 0, thinking off): 14/24, identical to base, same 14 tasks. For context, deeper tiers degrade measurably: at 63% pruning (192 experts) OOD deltas grow ~4x while in-domain still looks clean (calibration-coverage failure); at 75% pruning every…
Independent publisher
Tyrel Barstow
theJuice85
Models in Library1
Datasets in Library0
Models on Hugging Face1
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