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NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF

NikolayKozloff Llama GGUF
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Abliteration classifier · v1.0.0
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Primary method

Unclassified

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Confidence
UNKNOWN
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  • no classification signals present (no abliterated, uncensored, or known producer/method markers)
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Downloads · 30-day
12
↑ 15,400% in 90 days
Likes
1
Model age
2.3y ago
created 2024-06-21
Downloads over time
Now1.1K→from7↑15,400%
03987961.2K7 on Jul 24, 20241.1K on Oct 121.1K on Oct 10Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 12 · 156 snapshots · spans 810 days

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Metadata

License
apache-2.0
Languages
en
Tags
gguf llama-cpp gguf-my-repo en base_model:Sica-Cold-Storage-2/LLAMA-3_8B_Unaligned_Alpha base_model:quantized:Sica-Cold-Storage-2/LLAMA-3_8B_Unaligned_Alpha license:apache-2.0 endpoints_compatible region:us conversational

Related

Total size
7.95 GB
Files
3
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-06-21 13:12

Files by quantization

Auxiliary files 3 files 7.95 GB
llama-3_8b_unaligned_alpha-q8_0.gguf 7.95 GB 2756ae43 download
README.md 1.91 KB ad53e49a download
.gitattributes 1.55 KB 77a1d3f2 download

README current version from Hugging Face


base_model: SicariusSicariiStuff/LLAMA-3_8B_Unaligned_Alpha
language:

  • en
    license: apache-2.0
    tags:
  • llama-cpp
  • gguf-my-repo

NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF

This model was converted to GGUF format from SicariusSicariiStuff/LLAMA-3_8B_Unaligned_Alpha 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 NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF --hf-file llama-3_8b_unaligned_alpha-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF --hf-file llama-3_8b_unaligned_alpha-q8_0.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 NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF --hf-file llama-3_8b_unaligned_alpha-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo NikolayKozloff/LLAMA-3_8B_Unaligned_Alpha-Q8_0-GGUF --hf-file llama-3_8b_unaligned_alpha-q8_0.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. 2024-06-21Upload README.md with huggingface_hub67f7f051.9 KB
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