Mistral-Nemo-2407-12B-Thinking-Claude-Gemini-GPT5.2-Uncensored-HERETIC
12BMistralheretic
from mistralai/Mistral-Nemo-Instruct-2407
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Mistral-Small-24B-Instruct-2501-Abliterated
Mistral-Small-24B-Instruct-2501-Abliterated is a refusal-ablated variant of mistralai/Mistral-Small-24B-Instruct-2501, published on Hugging Face by venkycs. It is 24B parameters, 24GB VRAM class class and apache-2.0 licence. It is distributed across 11 repositories in Transformers, GGUF, GGUF (imatrix) and MLX formats, totalling 5.4K downloads.
Specification
- Model name
- Mistral-Small-24B-Instruct-2501-Abliterated
- Source repository
- venkycs/Mistral-Small-24B-Instruct-2501-Abliterated
- Publisher
- venkycs
- Parameters
- 24B
- VRAM required
- ~15.4 GB at Q4_K_M, 4k context (estimated) — runs on 16 GB cards
- Hardware class
- 10B – 25B — 24GB VRAM class
- Licence
- apache-2.0
- Task
- Text generation
- Context window
- Not documented
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, GGUF (imatrix), MLX
- First indexed
- 30 Jan 2025
- Last updated
- 11 Sept 2026
Ablation technique
How Mistral-Small-24B-Instruct-2501-Abliterated was modified, and what that implies.
Abliteration (directional ablation)
The single residual-stream direction that mediates refusal is identified from harmful/harmless prompt pairs and projected out of the model weights.
Reported scope: Not stated by the publisher. Publishers frequently omit this, so verify behaviour empirically rather than assuming full coverage.
From the publisher’s model card
“This is an uncensored version of mistralai/Mistral-Small-24B-Instruct-2501 created with abliteration (see remove-refusals-with-transformers to know more about it). This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.”
Running it
Commands are templates — confirm the exact repository and quant file before use.
Ollama (publisher-documented)
ollama run huihui_ai/mistral-small-abliteratedllama.cpp / GGUF
hf download mradermacher/Mistral-Small-24B-Instruct-2501-abliterated-GGUF --local-dir ./mistral-small-24b-instruct-2501-abliterated
llama-cli -m ./mistral-small-24b-instruct-2501-abliterated/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "venkycs/Mistral-Small-24B-Instruct-2501-Abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve venkycs/Mistral-Small-24B-Instruct-2501-Abliterated --trust-remote-codeDownloads and variants (10)
Every published repository of Mistral-Small-24B-Instruct-2501-Abliterated, including quantised re-releases by other authors.
Security-team assessment
Derived from this model’s metadata and the publisher’s claims — not from benchmarks run by this site.
- Mistral-Small-24B-Instruct-2501-Abliterated will attempt offensive-security prompts that a hosted commercial model declines, which is what makes it usable for red-team corpus generation and for measuring what an unaligned model of this class produces.
- Capability is inherited from mistralai/Mistral-Small-24B-Instruct-2501, not added by ablation — at 24B parameters, expect roughly the base model’s competence, minus some instruction-following fidelity.
- The publisher does not state which layers were ablated, so assume nothing about refusal consistency — probe it directly.
- Declared licence is apache-2.0, but the terms that bind you are mistralai/Mistral-Small-24B-Instruct-2501’s — a re-release cannot grant more than its parent.
Handling: run it isolated, put moderation in front of it if anyone outside your team can reach it, and verify the weights before loading — these are third-party artifacts. Full handling and licence guidance.
Metadata for Mistral-Small-24B-Instruct-2501-Abliterated is collected from the public Hugging Face API and the publisher’s model card. This site does not host weights, is not affiliated with venkycs, and does not independently verify publisher claims. See responsible use.