Qwen3.8-27B Uncensored (orcarouter), W4A16, HyperQwen-prepared

A 4-bit weight-only quant of orcarouter/Qwen3.8-27B-Uncensored, an abliteration of the official Qwen3.8-27B. It is quantized the way dbirks/Qwen3.8-27B-W4A16-AutoRound is, so HyperQwen's prep and kernels apply and plain vLLM loads it with Marlin.

  • Format: compressed-tensors pack-quantized, int4, group 128, symmetric.
  • Quantizer: Intel AutoRound 0.15.0, 128 samples of NeelNanda/pile-10k at 2048 tokens, 200 iterations, seed 42.
  • Kept in BF16: GatedDeltaNet in_proj_a / in_proj_b, the vision tower, the MTP head and lm_head.
  • MTP head included (15 tensors), so --speculative-config '{"method":"mtp","num_speculative_tokens":3}' works.
  • Already prepared for HyperQwen: int8 lm_head, embeddings and MTP module, plus the 40k-token MTP draft head, so a server can start without running the prep step. The chat template renders the reasoning-effort line at the end of the prompt, so changing effort does not break the prefix cache.
  • Size: 19.5 GB before prep. Quantized in 34 minutes on one RTX 5090.

The refusal-removal results and benchmarks are on the source model card. Credit for the abliteration goes to orcarouter, and for the base model to the Qwen team (Apache 2.0).

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