Qwen3.8-27B GeoRefine Context — abliterated parent

The pinned Huihui abliterated model is stored with GeoRefine GLC v2 reversible lossless compression. Decoding recovers every parent BF16 tensor bit for bit, including the retained text, vision and MTP components.

Parent: huihui-ai/Huihui-Qwen3.8-27B-abliterated at 739e3c5b89849f6c238ce1e5b70008612ae42cdd.

The complete pinned parent contains 55,586,059,962 file bytes. This release contains 36320115845 file bytes, including model frames, metadata, decoder, licenses and release evidence. Its complete-package compression ratio is 1.530448×, verified against an exact minimum of 1.53×. Checksums and source provenance are included.

Verify and restore

The Linux reference decoder uses Python, NumPy and a C++17 compiler. After downloading the complete repository at the release revision:

python package/decoder/predictor_package.py verify package
python package/decoder/predictor_package.py restore package /data/new-parent-bf16

Restoration requires space for the full BF16 parent. The decoder verifies each tensor and the reconstructed safetensors shard hashes. Use a new destination. The restored files can be loaded through the parent's supported Transformers architecture and its original chat template.

This release precedes the separate dynamically quantised phone model. Phone memory, latency and accelerated inference measurements for this parent remain pending. The publisher describes the parent as abliterated; no universal zero-refusal claim has been established by these compression checks.

The parent license and metadata are retained in model-assets.tar.xz within package/. GeoRefine codec source and release provenance accompany this model.