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ArliAI / Model details

Qwen3.5-27B-Derestricted

ArliAI/Qwen3.5-27B-Derestricted

abliterateduncensoredfine-tuned
Download files on Hugging Face ↗

Read the original model card ↗ · Choosing a model

About this model

ArliAI's refusal-modified Qwen3.5-27B checkpoint, provided as safetensors weights. The creator says it uses norm-preserving biprojected abliteration with the goal of reducing refusals while retaining reasoning. That goal has not been independently tested here. The supplied text configuration sets max_position_embeddings to 262144, which is a configuration value rather than verified usable context. The card's inherited Qwen benchmarks and serving examples are not evaluations of these modified weights.

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
Qwen/Qwen3.5-27B
Parameters
27.7814B
Main repository formats
safetensors
License tag
apache-2.0
Languages
Unknown
Last updated
2026-03-18 · 05:06:38.000 UTC

Community reviews & tips

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

Sample window: to · 1 unique source link. This is a selected sample, not all community discussions.

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
  • uncensoredsource tag: uncensored
  • fine-tunedsource tag: base_model:finetune:Qwen/Qwen3.5-27B

Family evidence

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

  • Qwen: Base model: Qwen/Qwen3.5-27B

Available versions

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

Download sources

ModelScope distribution ↗
  • Distribution checked: ModelScope · 2026-10-24 · 03:14:44 UTC

Distribution links are not independent reviews or runtime compatibility guarantees. Check each source’s exact files and instructions.

Try it online

Try on Featherless ↗
  • Listing checked: Featherless · 2026-10-24 · 03:14:44 UTC

Third-party hosted inference listing this exact model ID. Hosting settings, quantization and pricing are the host’s, not tested here.

Refusal profile

Measurement failed on the last attempt; it will be retried.

How we measure

Link to this listing

Made or quantized this model? Paste one of these into your model card or README so people can find this listing.

Markdown

[Listed on Custom Clankers](https://customclankers.com/models/arliai-qwen3-5-27b-derestricted/)

HTML

<a href="https://customclankers.com/models/arliai-qwen3-5-27b-derestricted/">Listed on Custom Clankers</a>

Plain text links only: no image, no script, nothing loaded from this site.

Customize or build on this model

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

Linked in the model card

GitHub repositories the original model card links to.

  • sgl-project/sglang ↗

    Repo’s own description: SGLang is a high-performance serving framework for large language models and multimodal models.

    ★ 38,005 · Last updated 2026-10-25 · License: Apache-2.0

  • vllm-project/vllm ↗

    Repo’s own description: A high-throughput and memory-efficient inference and serving engine for LLMs

    ★ 95,376 · Last updated 2026-10-25 · License: Apache-2.0

  • kvcache-ai/ktransformers ↗

    Repo’s own description: A Flexible Framework for Experiencing Heterogeneous LLM Inference/Fine-tune Optimizations

    ★ 19,630 · Last updated 2026-10-20 · License: Apache-2.0

  • QwenLM/Qwen-Agent ↗

    Repo’s own description: Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.

    ★ 17,211 · Last updated 2026-03-04 · License: Apache-2.0

  • QwenLM/qwen-code ↗

    Repo’s own description: An open-source AI coding agent that lives in your terminal.

    ★ 28,707 · Last updated 2026-10-25 · License: Apache-2.0

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
282
Likes
37
Metadata checked
2026-10-25 · 05:05:23 UTC
First seen in index
2026-10-22 · 23:01:00 UTC
Source revision
aa194b68a0490385e412d1c2d9d1b8e41fbb259b

Source-card excerpt

Source model card excerpt: Arli AI Qwen3.5-27B-Derestricted Qwen3.5-27B-Derestricted is a Derestricted version of Qwen3.5-27B, created by Arli AI . Our goal with this release is to provide a

From ArliAI/Qwen3.5-27B-Derestricted. 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 ↗