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BernardHood/Mistral-Nemo-12B-abliterated-LORA-F16-GGUF

BernardHood Mistral 12B GGUF second-order
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Response includes
  • classification m5
  • files 3
  • author_summary 2 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
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No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

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created 2026-11-03
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Metadata

License
apache-2.0
Quantizations
F16
Tags
transformers gguf mergekit peft llama-cpp gguf-my-lora base_model:nbeerbower/Mistral-Nemo-12B-abliterated-LORA base_model:quantized:nbeerbower/Mistral-Nemo-12B-abliterated-LORA license:apache-2.0 endpoints_compatible region:us

Related

Total size
470 MB
Files
3
Quantizations
2
Registered
2026-11-03 23:02
Last updated on HF
2026-11-03 22:30

Files by quantization

F16 1 file 470 MB
Mistral-Nemo-12B-abliterated-LORA-f16.gguf 470 MB 09ddb31e download
Auxiliary files 2 files 2.58 KB
.gitattributes 1.56 KB 28673d37 download
README.md 1.02 KB 799eb3a1 download

README current version from Hugging Face


base_model: nbeerbower/Mistral-Nemo-12B-abliterated-LORA
library_name: transformers
tags:

  • mergekit
  • peft
  • llama-cpp
  • gguf-my-lora
    license: apache-2.0

BernardHood/Mistral-Nemo-12B-abliterated-LORA-F16-GGUF

This LoRA adapter was converted to GGUF format from nbeerbower/Mistral-Nemo-12B-abliterated-LORA via the ggml.ai's GGUF-my-lora space.
Refer to the original adapter repository for more details.

Use with llama.cpp

# with cli
llama-cli -m base_model.gguf --lora Mistral-Nemo-12B-abliterated-LORA-f16.gguf (...other args)

# with server
llama-server -m base_model.gguf --lora Mistral-Nemo-12B-abliterated-LORA-f16.gguf (...other args)

To know more about LoRA usage with llama.cpp server, refer to the llama.cpp server documentation.

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