← back to catalog · registered 2026-08-22 13:56

hearsid/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-GGUF

hearsid Llama 8B GGUF 131K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/hearsid%2FDarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-GGUF"
Response includes
  • classification m-uncensored
  • files 5
  • benchmarks 21 entries
  • hub_downloads_all_time 1,615
  • author_summary 2 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
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
148 last 30d - cooling
Likes
0
Model age
10mo ago
created 2025-12-15
Downloads over time
Now1.7K→from197↑760%
1226961.3K1.8K197 on Dec 17, 20251.7K on Oct 11Dec '25FebAprJunAugOct
Dec 17, 2025 → Oct 11 · 82 snapshots · spans 298 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Arena-Battles 52578 LM-Arena
LM Arena Elo 1193.5124798763727 LM-Arena
Arena-Elo-Lower 1189.790314040387 LM-Arena
Arena-Elo-Upper 1197.234645712358 LM-Arena
Arena-Rank 148 LM-Arena
BBH average 0.4671163575042159 OpenLLM-v2
IFEval instruct 0.564748201438849 OpenLLM-v2
IFEval-Prompt 0.4195933456561922 OpenLLM-v2
MATH lvl 5 0.15407854984894256 OpenLLM-v2
MMLU-Pro 0.37982047872340424 OpenLLM-v2
Entertainment 0 UGI
Hazardous 0 UGI
Natural Intelligence 18.19 UGI
Political lean -15.3% UGI
Sensitive-Info 4.69 UGI
SocPol 1.4 UGI
UGI 6.46 UGI
Willingness (10) 1 UGI
W10-Adherence 0 UGI
W10-Direct 2 UGI
Writing 24.82 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.

Variants by this author 2 formats · 188 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

License
llama3.1
Languages
en
Quantizations
F16 Q4_K Q8_K
Tags
gguf llama-3 uncensored roleplay text-generation en base_model:meta-llama/Llama-3.1-8B-Instruct base_model:quantized:meta-llama/Llama-3.1-8B-Instruct license:llama3.1 endpoints_compatible region:us conversational

Related

Total size
27.5 GB
Files
5
Quantizations
4
Registered
2026-08-22 13:56
Last updated on HF
2025-12-15 12:49

Files by quantization

F16 1 file 15.0 GB
DarkIdol-1.3-Uncensored-FP16.gguf 15.0 GB 70c9122c download
Q8_K 1 file 7.95 GB
DarkIdol-1.3-Uncensored-Q8_K_M.gguf 7.95 GB 28f5c054 download
Q4_K 1 file 4.58 GB
DarkIdol-1.3-Uncensored-Q4_K_M.gguf 4.58 GB b72f2066 download
Auxiliary files 2 files 3.13 KB
.gitattributes 1.95 KB f3fdf989 download
README.md 1.18 KB 9ee6bc2d download

README current version from Hugging Face


tags:

  • llama-3
  • gguf
  • uncensored
  • roleplay
    license: llama3.1
    language:
  • en
    base_model:
  • meta-llama/Llama-3.1-8B-Instruct
    pipeline_tag: text-generation

🌑 DarkIdol 1.3 - GGUF (CPU/Mac)

This is the GGUF (CPU/Apple Silicon) version of the DarkIdol 1.3 Uncensored model.
For the high-speed GPU version (EXL2), go here.

📥 Which version should I download?

Filename RAM Required Use Case
DarkIdol-1.3-Q4_K_M.gguf ~6-8 GB ✅ Best for most users. Fast, low memory, negligible quality loss.
DarkIdol-1.3-Q8_0.gguf ~10-12 GB 💎 High Fidelity. Near-lossless. Recommended if you have 16GB+ RAM.
DarkIdol-1.3-Uncensored-FP16.gguf ~18 GB 💾 Uncompressed Master. Only for archiving or re-quantization.

🚀 How to Run (llama.cpp)

./llama-cli -m DarkIdol-1.3-Q4_K_M.gguf \
  -p "<|begin_of_text|><|start_header_id|>system<|end_header_id|>\n\nYou are DarkIdol.<|eot_id|><|start_header_id|>user<|end_header_id|>\n\nHello!<|eot_id|><|start_header_id|>assistant<|end_header_id|>\n\n" \
  -n 512

README history 1 version

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

  1. 2025-12-15Create README.md68701e81.2 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration