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lemuralabs/Gemma-3-4B-it-Uncensored

lemuralabs Gemma 4.3B
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Response includes
  • classification m-uncensored
  • files 14
  • hub_downloads_all_time 10,642
  • author_summary 31 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
11K
96 last 30d - cooling
Likes
10
Model age
19mo ago
created 2025-03-16
Downloads over time
Now10.7K→from10.3K↑4%
10.3K10.4K10.6K10.7K10.3K on Aug 510.7K on Oct 11AugSepOct
Aug 5 → Oct 11 · 50 snapshots · spans 67 days

Variants by this author 2 formats · 3K downloads combined

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

Metadata

License
gemma
Tags
safetensors gemma3 license:gemma region:us

Related

Total size
8.01 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-08-05 19:16

Files by quantization

Auxiliary files 14 files 8.05 GB
model.safetensors 8.01 GB cfe0caf4 download
tokenizer.json 31.8 MB 4667f208 download
tokenizer.model 4.47 MB 1299c11d download
tokenizer_config.json 1.10 MB eceb9633 download
logo.png 18.6 KB a9400259 download
README.md 3.37 KB a60ce7de download
config.json 1.62 KB 0172cbff download
chat_template.json 1.58 KB 719b0cd0 download
.gitattributes 1.53 KB 52373fe2 download
special_tokens_map.json 720 B b7a8e475 download
preprocessor_config.json 570 B b1e00fc1 download
generation_config.json 192 B f60a6730 download
processor_config.json 70.0 B 453c7966 download
added_tokens.json 35.0 B e17bde03 download

README current version from Hugging Face


license: gemma

Lemura Labs

Lemura Labs Gemma-3-4B IT Uncensored

Format Params Type License

Welcome to Lemura Labs's Gemma-3-4B IT Uncensored, your gateway to an open and unrestricted AI experience. This powerful model enables users to explore and innovate without boundaries.

Why Choose Lemura Labs Gemma-3-4B IT Uncensored?

  • Unrestricted AI Interaction: Freedom to discuss, explore, and innovate without content limitations.
  • Efficient and Versatile: Optimized performance suitable for various hardware configurations.
  • Diverse Applications: Perfect for creative projects, conversational AI, educational tools, and entertainment.

Available Quantized Versions (GGUF)

Quantization Description Bits per Weight Download
Q8_0 Best accuracy and performance 8-bit [model-Q8_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q8_0.gguf)
Q6_K Balance between speed and quality 6-bit [model-Q6_K.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q6_K.gguf)
Q5_K_M Good accuracy with lower memory usage 5-bit [model-Q5_K_M.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q5_K_M.gguf)
Q3_K_M Smaller footprint, good for limited resources 3-bit [model-Q3_K_M.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-Q3_K_M.gguf)
TQ2_0 Very fast inference, minimal memory usage 2-bit [model-TQ2_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-TQ2_0.gguf)
TQ1_0 Minimal memory usage, fastest inference 2-bit [model-TQ1_0.gguf](https://huggingface.co/lemuralabs/Lemura Labs-Gemma-3-4B-IT-Uncensored-GGUF/resolve/main/model-TQ1_0.gguf)

Recommended Applications

  • Creative Writing & Arts: Generate stories, scripts, poetry, and explore creative ideas.
  • Virtual Assistants: Provide natural and unrestricted conversational experiences.
  • Educational Resources: Facilitate engaging, interactive learning environments.
  • Entertainment & Gaming: Create immersive narratives and interactive gameplay experiences.

Example Usage

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "lemuralabs/Gemma-3-4B-it-Uncensored"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16)

prompt = "Tell me an imaginative story about a hidden city."
input_ids = tokenizer(prompt, return_tensors="pt").input_ids

generated_ids = model.generate(input_ids, max_length=200)
output = tokenizer.decode(generated_ids[0], skip_special_tokens=True)

print(output)

Unlock Limitless Creativity

Experience the freedom to innovate and explore without boundaries using Lemura Labs Gemma-3-4B IT Uncensored.

README history 1 version

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

  1. 2026-08-05Initial commit9069c753.4 KB
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Discussions 1 thread

  1. 2025-03-17Best uncensored modelopen1 💬#1
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