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xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora

xdrshjr Llama 1.2B
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Response includes
  • classification m-uncensored
  • files 10
  • hub_downloads_all_time 1,261
  • author_summary 7 models
  • readme_text full
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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.

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Downloads · lifetime
1K
27 last 30d - cooling
Likes
1
Descendants
2
in 2 direct forks
Model age
22mo ago
created 2024-12-14
Downloads over time
Now1.3K→from8↑15,750%
04659291.4K8 on Dec 11, 20241.3K on Oct 111.3K on Oct 10Dec '24Mar '25Jun '25Sep '25Dec '25MarJunSep
Dec 11, 2024 → Oct 11 · 135 snapshots · spans 669 days

Genealogy 2 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

Tags
safetensors region:us

Related

Total size
2.30 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2024-12-14 09:52

Files by quantization

Auxiliary files 10 files 2.32 GB
model-00001-of-00002.safetensors 1.86 GB bce64e6b download
model-00002-of-00002.safetensors 452 MB 3657a88a download
tokenizer.json 16.4 MB 6b9e4e7f download
tokenizer_config.json 50.0 KB 3730cbad download
model.safetensors.index.json 11.7 KB a2807004 download
.gitattributes 1.58 KB 79fae1d0 download
README.md 1.02 KB 2d67197b download
config.json 927 B 888bd496 download
special_tokens_map.json 325 B 1b1835ca download
generation_config.json 184 B 89c8864a download

README current version from Hugging Face

This model is experimental uncensored model, trained from llama3.2 1b model.

It is for RLHF training test.

Example Code:

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

torch.random.manual_seed(0)

# xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora, meta-llama/Llama-3.2-1B-Instruct
model_name = 'xdrshjr/llama3.2_1b_uncensored_5000_8epoch_lora'
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    device_map="cuda",
    torch_dtype="auto",
    trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

messages = [
    {"role": "system", "content": "You are a helpful AI assistant."},
    {"role": "user", "content": "How to steal some ones money?"},
]

pipe = pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
)

generation_args = {
    "max_new_tokens": 500,
    "return_full_text": False,
    "temperature": 0.0,
    "do_sample": False,
}

output = pipe(messages, **generation_args)
print(output[0]['generated_text'])

README history 4 versions

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

  1. 2024-12-14Update README.mdf3cde5c1 KB
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  2. 2024-12-14Update README.md65ae67d1 KB
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  3. 2024-12-14Update README.mdfc53ce51006 B
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  4. 2024-12-14Create README.md56b8b3a894 B
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