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Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP

sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP

abliterated
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About this model

Sakamakismile packages Huihui-Qwen3.6-27B-abliterated as a ModelOpt NVFP4 W4A4 checkpoint with an MTP head for speculative decoding. The underlying hybrid-attention model is multimodal-capable, but this release documents text reasoning and tool-calling service through vLLM. Its deployment recipe targets four 16 GB Blackwell GPUs; that is the author's documented setup, not a promise of general hardware compatibility.

Description sources

Source-based description, not an independent evaluation. Check the linked sources for the creator’s claims and limitations.

Size and formats

Base model
Unknown
Parameters
17.1281B
Main repository formats
safetensors
License tag
apache-2.0
Languages
Unknown
Last updated
2026-05-31 · 10:27:44.000 UTC

Community reviews & tips

Source-linked paraphrases of sampled community sources, not independently tested by this directory.

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Small sample: source links are not a count of independent reviewers or evidence of consensus.

Sources checked:

What changed

Model types are creator-reported, not independently tested. These labels describe source metadata, not a guarantee of behavior.

  • abliteratedsource tag: abliterated
  • abliteratedmodel name: Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP

Family evidence

These groupings are source-reported. Explicit base identifiers take priority over generic architecture tags.

  • Qwen: Family / architecture tag: qwen3_5

Available versions

Versions appear here only when they explicitly name this exact model as their source. Check each repository for available files.

Refusal profile

Not yet measured: no GGUF version is available for our runner.

How we measure

Link to this listing

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Markdown

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Customize or build on this model

Listed from public GitHub data, not tested by us. Read the code and license before you run anything.

Projects that use this model

Public projects whose files name this exact model.

Tools to customize it further

Remove more refusals

  • Heretic ↗ ★ 36,421

    Removes refusal behavior from transformer models automatically. It pairs directional ablation (abliteration) with an Optuna parameter search that tries to cut refusals while keeping the model close to the original, so you don't have to pick layers by hand.

  • OBLITERATUS ↗ ★ 8,946

    A larger refusal-removal toolkit with several abliteration methods, usable locally or through a hosted Hugging Face Space. Check the telemetry setting before you run it: the README describes telemetry as opt-in, but on by default in the Spaces version.

Fine-tune it on your own data

  • Unsloth ↗ ★ 78,528

    A desktop app and Python library for running and training models locally. Its README lists LoRA, QLoRA, full fine-tuning, DPO and GRPO, plus export to formats including GGUF, on Windows, Linux, WSL and macOS.

  • LlamaFactory ↗ ★ 75,713

    Fine-tunes more than 100 language and vision-language models from a command line or a browser-based Web UI, aimed at training without writing code.

Make a smaller download (quantize)

  • llama.cpp ↗ ★ 132,260

    Runs models locally and includes the tools behind most GGUF files. A conversion script turns Hugging Face weights into GGUF, and llama-quantize shrinks a high-precision GGUF to lower-bit formats, which can cost some accuracy.

  • MLX LM ↗ ★ 7,467

    Apple's MLX package for running and fine-tuning models on Apple silicon. It can quantize models and upload them to the Hugging Face Hub, and supports LoRA and full fine-tuning.

Merge it with another model

  • mergekit ↗ ★ 7,414

    Merges pretrained models with many merge methods. It works out-of-core, so merges can run on a CPU or with as little as 8 GB of VRAM, and it also handles LoRA extraction and mixture-of-experts merges.

Learn the techniques

  • LLM Course ↗ ★ 84,667

    A free course with roadmaps and Colab notebooks. Its notebooks include one-click tools for merging with MergeKit, quantizing to GGUF, GPTQ, EXL2, AWQ and HQQ, and automatic abliteration with custom datasets.

Compare all tools →

Source provenance

Downloads
2,716
Likes
64
Metadata checked
2026-10-25 · 05:05:23 UTC
First seen in index
2026-10-20 · 21:59:08 UTC
Source revision
0a3ba25350b8a48d7b78b64d68b7cd68f3cc12d8

Source-card excerpt

Source model card excerpt: Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP NVFP4 (modelopt W4A4 ) quant of Huihui-Qwen3.6-27B-abliterated — a Qwen3.5-family hybrid model (linear attention + periodic full attention) with a built-in MTP (multi-token-prediction)

From sakamakismile/Huihui-Qwen3.6-27B-abliterated-NVFP4-MTP. Creator model-card excerpt, not an independent review.

Inspect before you run

Low refusal is not proof of correctness. Outputs can be inaccurate, harmful, or biased. Review the model card, license and files yourself. A license tag is not commercial-use advice. Parameter counts are source metadata; no hardware compatibility is implied.

This directory does not host or redistribute model weights. Refusal profiles are measured by us on a fixed prompt set; all other behavior claims are source-reported.

Collection rules & limitations ↗