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Felladrin/gguf-sharded-gemma-2-2b-it-abliterated

Felladrin Gemma 2B GGUF second-order 8K ctx
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Response includes
  • classification m8
  • files 13
  • benchmarks 16 entries
  • hub_downloads_all_time 1,547
  • author_summary 3 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

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.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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 · lifetime
2K
303 last 30d - stable
Likes
0
Model age
2.2y ago
created 2024-08-02
Downloads over time
Now1.6K→from32↑5,044%
06031.2K1.8K32 on Jul 31, 20241.6K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 31, 2024 → Oct 11 · 154 snapshots · spans 802 days

Benchmarks

Benchmark Score Source
BBH average 0.38292904397457517 OpenLLM-v2
IFEval instruct 0.5911270983213429 OpenLLM-v2
IFEval-Prompt 0.47504621072088726 OpenLLM-v2
MATH lvl 5 0.0015105740181268882 OpenLLM-v2
MMLU-Pro 0.25382313829787234 OpenLLM-v2
Entertainment 1.2 UGI
Hazardous 1.8 UGI
Natural Intelligence 11.25 UGI
Political lean -27.7% UGI
Sensitive-Info 11.98 UGI
SocPol 0.8 UGI
UGI 29.65 UGI
Willingness (10) 6.5 UGI
W10-Adherence 7 UGI
W10-Direct 6 UGI
Writing 24.68 UGI

Genealogy 0 direct forks

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Metadata

License
gemma
Languages
en
Tags
gguf llama-cpp gguf-my-repo en base_model:IlyaGusev/gemma-2-2b-it-abliterated base_model:quantized:IlyaGusev/gemma-2-2b-it-abliterated license:gemma endpoints_compatible region:us imatrix conversational

Related

Total size
3.58 GB
Files
13
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-08-02 10:09

Files by quantization

Auxiliary files 13 files 3.58 GB
gemma-2-2b-it-abliterated-q5_k_m-imat.gguf 1.79 GB a57366df download
gemma-2-2b-it-abliterated-q5_k_m-imat-00001-of-00009.gguf 624 MB 9c44dcb4 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00004-of-00009.gguf 156 MB 4888b268 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00005-of-00009.gguf 156 MB 5c26e9f6 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00008-of-00009.gguf 156 MB 45bf9794 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00003-of-00009.gguf 155 MB d1a84123 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00002-of-00009.gguf 153 MB c014e4c5 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00007-of-00009.gguf 153 MB 6fd34a09 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00009-of-00009.gguf 147 MB 03eb61e2 download
gemma-2-2b-it-abliterated-q5_k_m-imat-00006-of-00009.gguf 133 MB 8295f586 download
imatrix.dat 2.27 MB 1feaeaa8 download
.gitattributes 2.43 KB d6884a59 download
README.md 1.86 KB 728b54aa download

README current version from Hugging Face


base_model: IlyaGusev/gemma-2-2b-it-abliterated
language:

  • en
    license: gemma
    tags:
  • llama-cpp
  • gguf-my-repo

Felladrin/gemma-2-2b-it-abliterated-Q5_K_M-GGUF

This model was converted to GGUF format from IlyaGusev/gemma-2-2b-it-abliterated 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 Felladrin/gemma-2-2b-it-abliterated-Q5_K_M-GGUF --hf-file gemma-2-2b-it-abliterated-q5_k_m-imat.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Felladrin/gemma-2-2b-it-abliterated-Q5_K_M-GGUF --hf-file gemma-2-2b-it-abliterated-q5_k_m-imat.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 Felladrin/gemma-2-2b-it-abliterated-Q5_K_M-GGUF --hf-file gemma-2-2b-it-abliterated-q5_k_m-imat.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Felladrin/gemma-2-2b-it-abliterated-Q5_K_M-GGUF --hf-file gemma-2-2b-it-abliterated-q5_k_m-imat.gguf -c 2048

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2024-08-02Upload README.md with huggingface_hub00bf08e1.9 KB
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