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huggingkot/LLAMA-3_8B_Unaligned_BETA-bnb-4bit

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Response includes
  • classification unknown
  • files 10
  • benchmarks 5 entries
  • author_summary 8 models
  • readme_text full
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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
12
↑ 627% in 90 days
Likes
0
Model age
19mo ago
created 2025-03-06
Downloads over time
Now109→from15↑627%
10468211815 on Mar 5, 2025109 on Oct 11109 on Oct 10Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 11 · 123 snapshots · spans 585 days

Benchmarks

Benchmark Score Source
BBH average 0.43844856661045534 OpenLLM-v2
IFEval instruct 0.43764988009592326 OpenLLM-v2
IFEval-Prompt 0.3049907578558225 OpenLLM-v2
MATH lvl 5 0.07854984894259819 OpenLLM-v2
MMLU-Pro 0.3464926861702128 OpenLLM-v2

Genealogy 0 direct forks

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Metadata

Tags
safetensors base_model:SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA base_model:finetune:SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA 8-bit region:us

Related

Total size
5.31 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-06 03:46

Files by quantization

Auxiliary files 10 files 5.33 GB
model-00001-of-00002.safetensors 4.33 GB 57aa382d download
model-00002-of-00002.safetensors 1002 MB 4cff908a download
tokenizer.json 16.4 MB ee143114 download
model.safetensors.index.json 129 KB d4786d0c download
tokenizer_config.json 50.1 KB 3c42410c download
.gitattributes 1.53 KB c4cb545c download
config.json 1.18 KB fb826f80 download
README.md 891 B 56ab94e9 download
special_tokens_map.json 444 B 2df2c462 download
generation_config.json 192 B b365b7f4 download

README current version from Hugging Face


base_model:

  • SicariusSicariiStuff/LLAMA-3_8B_Unaligned_BETA

This is a converted weight from LLAMA-3_8B_Unaligned_BETA model in unsloth 4-bit dynamic quant using this collab notebook.

About this Conversion

This conversion uses Unsloth to load the model in 4-bit format and force-save it in the same 4-bit format.

How 4-bit Quantization Works

  • The actual 4-bit quantization is handled by BitsAndBytes (bnb), which works under Torch via AutoGPTQ or BitsAndBytes.
  • Unsloth acts as a wrapper, simplifying and optimizing the process for better efficiency.

This allows for reduced memory usage and faster inference while keeping the model compact.

README history 1 version

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

  1. 2025-03-06add files9ae71e7891 B
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