Mistral-Small-Instruct-2409-abliterated
Mistral
from mistralai/Mistral-Small-Instruct-2409
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Mistral-Nemo-Instruct-2407-abliterated
Mistral-Nemo-Instruct-2407-abliterated is a refusal-ablated variant of natong19/Mistral-Nemo-Instruct-2407-abliterated, published on Hugging Face by natong19. It is apache-2.0 licence. It is distributed across 11 repositories in Transformers, GGUF, GGUF (imatrix) and AWQ formats, totalling 8.9K downloads.
Specification
- Model name
- Mistral-Nemo-Instruct-2407-abliterated
- Source repository
- natong19/Mistral-Nemo-Instruct-2407-abliterated
- Publisher
- natong19
- Parameters
- Not determinable from name
- Hardware class
- Unknown
- Licence
- apache-2.0
- Task
- Unspecified
- Context window
- 128K tokens (as documented)
- Ablation scope
- Not stated by the publisher
- Formats available
- Transformers, GGUF, GGUF (imatrix), AWQ
- First indexed
- 15 Aug 2024
- Last updated
- 3 Jun 2026
Ablation technique
How Mistral-Nemo-Instruct-2407-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
“Abliterated version of Mistral-Nemo-Instruct-2407, a Large Language Model (LLM) trained jointly by Mistral AI and NVIDIA that significantly outperforms existing models smaller or similar in size. The model's strongest refusal directions have been ablated via weight orthogonalization, but the model may still refuse...”
Running it
Commands are templates — confirm the exact repository and quant file before use.
llama.cpp / GGUF
hf download mradermacher/Mistral-Nemo-Instruct-2407-abliterated-GGUF --local-dir ./mistral-nemo-instruct-2407-abliterated
llama-cli -m ./mistral-nemo-instruct-2407-abliterated/<file>.gguf -p "..."Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
repo = "natong19/Mistral-Nemo-Instruct-2407-abliterated"
tok = AutoTokenizer.from_pretrained(repo)
model = AutoModelForCausalLM.from_pretrained(
repo, torch_dtype="auto", device_map="auto"
)vLLM
vllm serve natong19/Mistral-Nemo-Instruct-2407-abliterated --trust-remote-codeDownloads and variants (10)
Every published repository of Mistral-Nemo-Instruct-2407-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-Nemo-Instruct-2407-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.
- 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 natong19/Mistral-Nemo-Instruct-2407-abliterated’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-Nemo-Instruct-2407-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 natong19, and does not independently verify publisher claims. See responsible use.