A compressed-tensors NVFP4 W4A4 release of huihui-ai/Huihui-Qwen3.8-27B-abliterated at revision d42ca8978c5a66e92c3446d46e8adfe03ef692ff. The same-source BF16 vision/video tower (333 tensors) and all 15 BF16 MTP tensors are retained.

Quick start — RTX 5090 / Blackwell

bash

hf download lyf/Qwen3.8-27B-Huihui-Abliterated-NVFP4-MTP-VL --local-dir ./huihui-qwen38-nvfp4

docker run --rm --gpus all --ipc=host --network=host   -e VLLM_NVFP4_GEMM_BACKEND=flashinfer-cutlass   -e VLLM_USE_FLASHINFER_SAMPLER=1   -v "$PWD/huihui-qwen38-nvfp4:/model:ro"   vllm/vllm-openai:qwen38-x86_64-cu130   /model   --served-model-name qwen38-huihui-nvfp4   --host 0.0.0.0 --port 8000   --max-model-len 4096   --kv-cache-dtype fp8   --gpu-memory-utilization 0.92   --max-num-seqs 1   --max-num-batched-tokens 1024   --enable-prefix-caching   --trust-remote-code   --speculative-config '{"method":"qwen3_5_mtp","num_speculative_tokens":3}'

The command above is the verified multimodal/MTP smoke profile. Larger context values require workload-specific VRAM validation.

Quantization and lineage

Component	Format/source
Language-model Linear layers	NVFP4 W4A4, group size 16
Vision/video tower	333 tensors, BF16, same Huihui checkpoint
MTP head	15 tensors, BF16, same Huihui checkpoint
`lm_head`, token embedding, GDN `conv1d`	BF16
Calibration	CNN/DailyMail 3.0.0, 20 × 8192 tokens
Packaging	compressed-tensors `nvfp4-pack-quantized`

No official Qwen, Unsloth, Blackfrost, or other behavioral variant weights were grafted into this release.

Validation

Validated on one RTX 5090, 450 W cap, using vllm/vllm-openai:qwen38-x86_64-cu130:

GET /health and /v1/models: passed
OpenAI-compatible 1024-token text generation: passed
Native MTP n=3: passed
MTP draft tokens: 1362; accepted: 572; acceptance: 42.0%
Mean acceptance length: 2.33
Per-position acceptance: 0.602 / 0.429 / 0.295
Client elapsed for 1024 output tokens: 10.73 s
Runtime VRAM under generation: ~28,944 MiB

The earlier full release workflow also verifies 333 vision tensors and 15 same-source MTP tensors statically. The NInfer derivative in the companion repository carries a separate real-image runtime validation.

Files

model-00001-of-00002.safetensors, model-00002-of-00002.safetensors: compressed checkpoint
model-mtp-extra.safetensors: 15 same-source BF16 MTP tensors
model.safetensors.index.json: complete 2687-tensor index
BUILD_MANIFEST.json, VALIDATION_REPORT.json, STATIC_VALIDATION_REPORT.json, recipe.yaml, SHA256SUMS: provenance and reproducibility

Intended use

This is an abliterated behavioral derivative intended for model research and local inference. Users are responsible for downstream use and applicable policies.