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qwen2.5-14B-instruct-abliterated

jiangchengchengNLP/qwen2.5-14B-instruct-abliterated

abliteratedfine-tuned
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About this model

This is jiangchengchengNLP's safetensors release derived from Qwen/Qwen2.5-14B-Instruct, the base model explicitly named in the repository metadata. According to the model card, the creator made it as an uncensored version of that base model using a new abliteration technique. The metadata identifies the architecture as Qwen2ForCausalLM, labels the pipeline text-generation, and lists the license as apache-2.0. The creator recommends generating with temperature=0.8 and top_p=0.75. The supplied metadata reports 14,770,033,664 total safetensors parameters and tags the repository for Transformers and text-generation inference.

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/Qwen2.5-14B-Instruct
Parameters
14.77B
Main repository formats
safetensors
License tag
apache-2.0
Languages
Unknown
Last updated
2025-06-02 · 15:05:54.000 UTC

What changed

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

  • abliteratedmodel name: qwen2.5-14B-instruct-abliterated
  • fine-tunedsource tag: base_model:finetune:Qwen/Qwen2.5-14B-Instruct

Family evidence

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

  • Qwen: Base model: Qwen/Qwen2.5-14B-Instruct

Available versions

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Link to this listing

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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.

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
17
Likes
0
Metadata checked
2026-10-25 · 12:12:34 UTC
First seen in index
2026-10-25 · 12:12:34 UTC
Source revision
2995786999297d5bbd19e1f21a126495f7fdef00

Source-card excerpt

Source model card excerpt: 💎 Qwen 2.5 14B Instruct Abliterated Qwen-14B-instruct Abliterated This is an uncensored version of Qwen/Qwen-2.5-14b-instruct created with a new abliteration technique. See this article

From jiangchengchengNLP/qwen2.5-14B-instruct-abliterated. 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 ↗