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raethehacker/UNfilteredAI-1B-Q2_K-GGUF

raethehacker 1B GGUF second-order
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

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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)
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Downloads · 30-day
30
↑ 3,906% in 90 days
Likes
1
Model age
22mo ago
created 2024-11-23
Downloads over time
Now641→from16↑3,906%
023546970416 on Nov 20, 2024641 on Oct 12Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 20, 2024 → Oct 12 · 139 snapshots · spans 691 days

Genealogy 0 direct forks

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Metadata

License
other
Languages
en
Tags
gguf UnfilteredAI llama-cpp gguf-my-repo en base_model:UnfilteredAI/UNfilteredAI-1B base_model:quantized:UnfilteredAI/UNfilteredAI-1B license:other endpoints_compatible region:us conversational

Related

Total size
397 MB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-11-23 04:06

Files by quantization

Auxiliary files 3 files 397 MB
unfilteredai-1b-q2_k.gguf 397 MB 12a136d8 download
README.md 1.74 KB abb62860 download
.gitattributes 1.54 KB d2ebe9b3 download

README current version from Hugging Face


license: other
language:

  • en
    tags:
  • UnfilteredAI
  • llama-cpp
  • gguf-my-repo
    base_model: UnfilteredAI/UNfilteredAI-1B

raethehacker/UNfilteredAI-1B-Q2_K-GGUF

This model was converted to GGUF format from UnfilteredAI/UNfilteredAI-1B 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 raethehacker/UNfilteredAI-1B-Q2_K-GGUF --hf-file unfilteredai-1b-q2_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo raethehacker/UNfilteredAI-1B-Q2_K-GGUF --hf-file unfilteredai-1b-q2_k.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 raethehacker/UNfilteredAI-1B-Q2_K-GGUF --hf-file unfilteredai-1b-q2_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo raethehacker/UNfilteredAI-1B-Q2_K-GGUF --hf-file unfilteredai-1b-q2_k.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. 2024-11-23Upload README.md with huggingface_hubd830afb1.7 KB
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