NaniDAO / Model details

deepseek-r1-qwen-2.5-32B-ablated

NaniDAO/deepseek-r1-qwen-2.5-32B-ablated

abliterateduncensoredfine-tuned

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About this model

NaniDAO's derivative of deepseek-ai/DeepSeek-R1-Distill-Qwen-32B, released as safetensors weights under the MIT license. The model card says the change is an ablation technique applied to the base model, intended to reduce refusals and provide what the creator calls a more helpful and based reasoning model with an uncensored user experience. According to the creator, it will refuse fewer valid requests, and users are advised to apply common sense and use it responsibly; the creator disclaims responsibility for how the model is used. The repository is tagged as abliterated and uncensored. Refusal behavior and retained reasoning quality have not been independently tested here.

Description sources

https://huggingface.co/NaniDAO/deepseek-r1-qwen-2.5-32B-ablated/raw/4e4a5c8a2a4da8bacb2b8b06246b9e6e8e8f0c5e/README.md ↗

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

Size and formats

Base model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
Parameters: 32.7639B
Main repository formats: safetensors
License tag: mit
Languages: Unknown
Last updated: 2025-01-23 · 18:07:45.000 UTC

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:deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

Family evidence

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

Qwen: Base model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
DeepSeek: Base model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B

Available versions

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

Main repository files ↗safetensors
No other explicitly linked versions recorded.

Link to this listing

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Markdown

[Listed on Custom Clankers](https://customclankers.com/models/nanidao-deepseek-r1-qwen-2-5-32b-ablated/)

HTML

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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: 63
Likes: 53
Metadata checked: 2026-10-25 · 12:12:34 UTC
First seen in index: 2026-10-25 · 12:12:34 UTC
Source revision: 4e4a5c8a2a4da8bacb2b8b06246b9e6e8e8f0c5e

Source-card excerpt

Source model card excerpt: naniseek DeepSeek-R1-Distill-Qwen-32B with ablation technique applied for a more helpful (and based) reasoning model. This means it will refuse less of your valid requests

From NaniDAO/deepseek-r1-qwen-2.5-32B-ablated. 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 ↗