← back to catalog · registered 2026-09-10 19:55

xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF

xs7david Mistral 12B GGUF second-order
Abliteration classifier · v1.0.0
?
Primary method

Unclassified

No clear signals of an abliteration technique in this model.
Confidence
UNKNOWN
Why this label 1 signal
No classification signals present. This may not be an abliterated model at all — it could be a repackaging, a merge with unrelated goals, or unrelated content that mentions the term.
  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-09-10

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 0 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
apache-2.0
Languages
en fr de es it pt ru zh ja
Tags
transformers gguf llama-cpp gguf-my-repo text-generation en fr de es it pt ru

Related

Total size
6.63 GB
Files
3
Quantizations
1
Registered
2026-09-10 19:55
Last updated on HF
2026-09-10 18:56

Files by quantization

Auxiliary files 3 files 6.63 GB
mistralai-mistral-nemo-instruct-2407-extensive-bp-abliteration-12b-q4_k_s.gguf 6.63 GB ce49505b download
README.md 2.45 KB d506e2e3 download
.gitattributes 1.60 KB 1660ef19 download

README current version from Hugging Face


license: apache-2.0
language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • ru
  • zh
  • ja
    base_model: grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B
    pipeline_tag: text-generation
    library_name: transformers
    tags:
  • llama-cpp
  • gguf-my-repo

xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF

This model was converted to GGUF format from grimjim/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B using llama.cpp via the ggml.ai's GGUF-my-repo space.
Refer to the original model card for more details on the model.

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF --hf-file mistralai-mistral-nemo-instruct-2407-extensive-bp-abliteration-12b-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF --hf-file mistralai-mistral-nemo-instruct-2407-extensive-bp-abliteration-12b-q4_k_s.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps listed in the Llama.cpp repo as well.

Step 1: Clone llama.cpp from GitHub.

git clone https://github.com/ggerganov/llama.cpp

Step 2: Move into the llama.cpp folder and build it with LLAMA_CURL=1 flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).

cd llama.cpp && LLAMA_CURL=1 make

Step 3: Run inference through the main binary.

./llama-cli --hf-repo xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF --hf-file mistralai-mistral-nemo-instruct-2407-extensive-bp-abliteration-12b-q4_k_s.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo xs7david/mistralai-Mistral-Nemo-Instruct-2407-extensive-BP-abliteration-12B-Q4_K_S-GGUF --hf-file mistralai-mistral-nemo-instruct-2407-extensive-bp-abliteration-12b-q4_k_s.gguf -c 2048
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in app" button that hands off directly to a local runtime of your choice - Infrahuman, LM Studio, or Ollama. No API keys, no subscription, no prompt leakage.