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tensorblock/huihui-ai_Llama-3.3-70B-Instruct-abliterated-finetuned-GGUF

tensorblock Llama 70B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/tensorblock%2Fhuihui-ai_Llama-3.3-70B-Instruct-abliterated-finetuned-GGUF"
Response includes
  • classification m8
  • files 4
  • benchmarks 11 entries
  • hub_downloads_all_time 3,280
  • author_summary 96 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=tensorblock (M8 quantization producer)
  • is_gguf=1
  • base_model='huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned' looks abliterated -> assume M1
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
3K
127 last 30d - cooling
Likes
0
Model age
17mo ago
created 2025-04-27
Downloads over time
Now3.3K→from15↑21,947%
01.2K2.4K3.6K15 on Apr 23, 20253.3K on Oct 113.3K on Oct 9Apr '25Jul '25Oct '25JanAprJulOct
Apr 23, 2025 → Oct 11 · 116 snapshots · spans 536 days

Benchmarks

Benchmark Score Source
Entertainment 3.8 UGI
Hazardous 4.1 UGI
Natural Intelligence 29.53 UGI
Political lean -16.2% UGI
Sensitive-Info 37.58 UGI
SocPol 3.4 UGI
UGI 51.72 UGI
Willingness (10) 8 UGI
W10-Adherence 8 UGI
W10-Direct 8 UGI
Writing 30.73 UGI

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Metadata

License
llama3.3
Languages
en fr it pt hi es th de
Quantizations
Q2_K Q3_K
Tags
transformers gguf facebook meta pytorch llama llama-3 abliterated uncensored TensorBlock GGUF en

Related

Total size
56.5 GB
Files
4
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-01-27 21:15

Files by quantization

Q3_K 1 file 31.9 GB
Llama-3.3-70B-Instruct-abliterated-finetuned-Q3_K_M.gguf 31.9 GB a9189b51 download
Q2_K 1 file 24.6 GB
Llama-3.3-70B-Instruct-abliterated-finetuned-Q2_K.gguf 24.6 GB a5e45873 download
Auxiliary files 2 files 26.2 KB
README.md 23.1 KB 56f41c7e download
.gitattributes 3.15 KB 61adc41e download

README current version from Hugging Face


library_name: transformers
language:

  • en
  • fr
  • it
  • pt
  • hi
  • es
  • th
  • de
    base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned
    tags:
  • facebook
  • meta
  • pytorch
  • llama
  • llama-3
  • abliterated
  • uncensored
  • TensorBlock
  • GGUF
    extra_gated_prompt: "### LLAMA 3.3 COMMUNITY LICENSE AGREEMENT\nLlama 3.3 Version
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huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned - GGUF

This repo contains GGUF format model files for huihui-ai/Llama-3.3-70B-Instruct-abliterated-finetuned.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b5165.

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Prompt template

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

Cutting Knowledge Date: December 2023
Today Date: 26 Jul 2024

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Model file specification

Filename Quant type File Size Description
Llama-3.3-70B-Instruct-abliterated-finetuned-Q2_K.gguf Q2_K 26.375 GB smallest, significant quality loss - not recommended for most purposes
Llama-3.3-70B-Instruct-abliterated-finetuned-Q3_K_S.gguf Q3_K_S 30.912 GB very small, high quality loss
Llama-3.3-70B-Instruct-abliterated-finetuned-Q3_K_M.gguf Q3_K_M 34.267 GB very small, high quality loss
Llama-3.3-70B-Instruct-abliterated-finetuned-Q3_K_L.gguf Q3_K_L 37.141 GB small, substantial quality loss
Llama-3.3-70B-Instruct-abliterated-finetuned-Q4_0.gguf Q4_0 39.970 GB legacy; small, very high quality loss - prefer using Q3_K_M
Llama-3.3-70B-Instruct-abliterated-finetuned-Q4_K_S.gguf Q4_K_S 40.347 GB small, greater quality loss
Llama-3.3-70B-Instruct-abliterated-finetuned-Q4_K_M.gguf Q4_K_M 42.520 GB medium, balanced quality - recommended
Llama-3.3-70B-Instruct-abliterated-finetuned-Q5_0.gguf Q5_0 48.657 GB legacy; medium, balanced quality - prefer using Q4_K_M
Llama-3.3-70B-Instruct-abliterated-finetuned-Q5_K_S.gguf Q5_K_S 48.657 GB large, low quality loss - recommended
Llama-3.3-70B-Instruct-abliterated-finetuned-Q5_K_M.gguf Q5_K_M 49.950 GB large, very low quality loss - recommended
Llama-3.3-70B-Instruct-abliterated-finetuned-Q6_K Q6_K 57.888 GB very large, extremely low quality loss
Llama-3.3-70B-Instruct-abliterated-finetuned-Q8_0 Q8_0 74.975 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/huihui-ai_Llama-3.3-70B-Instruct-abliterated-finetuned-GGUF --include "Llama-3.3-70B-Instruct-abliterated-finetuned-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/huihui-ai_Llama-3.3-70B-Instruct-abliterated-finetuned-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

README history 3 versions

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

  1. 2025-07-09Update README.md3fd7d6523.1 KB
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  2. 2025-06-19Update README.mdfc459ca22.3 KB
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  3. 2025-04-27Upload folder using huggingface_hubd9b636022.2 KB
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