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

vpakarinen/llama-nemotron-8b-lora-uncensored

vpakarinen Llama 8B
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/vpakarinen%2Fllama-nemotron-8b-lora-uncensored"
Response includes
  • classification m-uncensored
  • files 8
  • hub_downloads_all_time 144
  • author_summary 12 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
144
12 last 30d - cooling
Likes
0
Model age
17mo ago
created 2025-04-23

Training datasets

Corpora the author lists in the model card. Datasets tracked in our /datasets catalog carry a category badge linking to the workflow stage. Others open on Hugging Face.

Downloads over time
Now147→from53↑177%
488412015653 on Sep 3, 2025147 on Oct 11147 on Oct 9Sep '25Nov '25JanMarMayJulSep
Sep 3, 2025 → Oct 11 · 97 snapshots · spans 403 days

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
other
Tags
peft safetensors llama generated_from_trainer dataset:ICEPVP8977/Uncensored_Small_Test_Time_Compute base_model:nvidia/Llama-3.1-Nemotron-Nano-8B-v1 base_model:adapter:nvidia/Llama-3.1-Nemotron-Nano-8B-v1 license:other 4-bit bitsandbytes region:us

Related

Total size
80.1 MB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-22 08:33

Files by quantization

Auxiliary files 8 files 96.5 MB
adapter_model.safetensors 80.1 MB 10535c84 download
tokenizer.json 16.4 MB 6b9e4e7f download
tokenizer_config.json 49.8 KB 52bba34c download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.39 KB 8677e208 download
adapter_config.json 808 B 884385a1 download
README.md 460 B d9d2223e download
special_tokens_map.json 444 B 278b7f0f download

README current version from Hugging Face


library_name: peft
license: other
base_model: nvidia/Llama-3.1-Nemotron-Nano-8B-v1
tags:

  • generated_from_trainer
    datasets:
  • ICEPVP8977/Uncensored_Small_Test_Time_Compute

Fine-tuned version of nvidia/Llama-3.1-Nemotron-Nano-8B-v1 on the ICEPVP8977/Uncensored_Small_Test_Time_Compute dataset.

This LoRA will fully uncensor the Llama-3.1-Nemotron-Nano-8B, use alpaca instruction template.

README history 11 versions

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

  1. 2026-08-22Update README.mdef445c3460 B
    Loading...
  2. 2026-08-22Update README.md62f2b12457 B
    Loading...
  3. 2026-08-22Update README.md2ed5a62463 B
    Loading...
  4. 2025-08-30Update README.mdf3ca73f2.5 KB
    Loading...
  5. 2025-04-23Update README.md2665f272.5 KB
    Loading...
  6. 2025-04-23Update README.md63bf87a2.5 KB
    Loading...
  7. 2025-04-23Update README.md179ccc82.5 KB
    Loading...
  8. 2025-04-23Update README.mdad174c32.5 KB
    Loading...
  9. 2025-04-23Update README.md4b6593c2.4 KB
    Loading...
  10. 2025-04-23Upload 7 filesd1428533.1 KB
    Loading...
  11. 2025-04-23initial commit94a783b21 B
    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