Instructions to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF",
	filename="model-Q3_K_M.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama-cli -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
# Run inference directly in the terminal:
llama-cli -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
# Run inference directly in the terminal:
./llama-cli -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

Use Docker

docker model run hf.co/osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

LM Studio
Jan
Ollama
How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with Ollama:
```
ollama run hf.co/osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
```

Unsloth Studio

How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with Docker Model Runner:
```
docker model run hf.co/osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M
```

Lemonade

How to use osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF:Q3_K_M

Run and chat with the model

lemonade run user.Nidum-Gemma-3-4B-it-Uncensored-GGUF-Q3_K_M

List all available models

lemonade list

🚀 Nidum Gemma-3-4B IT Uncensored GGUF

Welcome to Nidum's Gemma-3-4B IT Uncensored GGUF, designed for creators, researchers, and AI enthusiasts looking for a powerful, versatile, and unrestricted AI experience. Our quantized models give you fast, efficient, and high-quality inference, empowering innovative use cases without limitations.

🌟 Why Choose Nidum Gemma-3-4B IT Uncensored?

Unrestricted AI: No censorship—ideal for exploring creative and innovative ideas.
Efficiency & Speed: Optimized quantizations for rapid inference on diverse hardware.
Versatility: Excellent for creative writing, chatbot development, educational tools, personalized assistants, and more.
Open & Community-centric: Embrace the power of open, community-driven AI.

📥 Available GGUF Models

Choose from multiple GGUF quantized formats tailored for your specific needs:

Quantization	Description	Bits per Weight	Link
Q8_0	Best accuracy and excellent performance	8-bit	model-Q8_0.gguf
Q6_K	Strong accuracy, faster inference	6-bit	model-Q6_K.gguf
Q5_K_M	Ideal balance of speed & accuracy	5-bit	model-Q5_K_M.gguf
Q3_K_M	Memory-efficient with good performance	3-bit	model-Q3_K_M.gguf
TQ2_0	Tiny quantization for maximum speed	2-bit	model-TQ2_0.gguf
TQ1_0	Ultra-lightweight, minimal memory usage	1-bit	model-TQ1_0.gguf

🎯 Recommended Quantization Usage:

Highest Quality & Performance: Q8_0 or Q6_K
Balanced Approach: Q5_K_M
Low-resource Environments (mobile, edge): Q3_K_M, TQ2_0, or TQ1_0

🌟 Use-Cases & Applications

Explore limitless AI use-cases with Nidum Gemma-3-4B IT Uncensored GGUF:

Creative Content Generation: Stories, scripts, poetry, and art.
Virtual Assistants: Natural, open-ended conversations.
Educational Purposes: Enhanced, unrestricted learning interactions.
Interactive Entertainment: Rich storytelling and immersive role-play.
Research and Innovation: Test new ideas and hypotheses without censorship.

✨ Unleash Your Creativity with Nidum

Dive in today and experience an uncensored, fast, and powerful AI journey tailored for open-minded creators, innovators, and AI enthusiasts!

Enjoy your uncensored AI experience with Nidum! 🚀

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GGUF

Model size

4B params

Architecture

gemma3

Hardware compatibility

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Collection including osmapi/Nidum-Gemma-3-4B-it-Uncensored-GGUF

Nidum Uncensored GGUF

Collection

4 items • Updated Mar 21, 2025 • 3