Instructions to use Kutches/UncensoredV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kutches/UncensoredV2 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Kutches/UncensoredV2",
	filename="Wan2_1-InfiniteTalk_Single_Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Kutches/UncensoredV2 with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Kutches/UncensoredV2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Kutches/UncensoredV2:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Kutches/UncensoredV2:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Kutches/UncensoredV2:Q4_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 Kutches/UncensoredV2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Kutches/UncensoredV2:Q4_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 Kutches/UncensoredV2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Kutches/UncensoredV2:Q4_K_M

Use Docker

docker model run hf.co/Kutches/UncensoredV2:Q4_K_M

LM Studio
Jan
Ollama
How to use Kutches/UncensoredV2 with Ollama:
```
ollama run hf.co/Kutches/UncensoredV2:Q4_K_M
```

Unsloth Studio

How to use Kutches/UncensoredV2 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 Kutches/UncensoredV2 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 Kutches/UncensoredV2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Kutches/UncensoredV2 to start chatting

Atomic Chat new
Docker Model Runner
How to use Kutches/UncensoredV2 with Docker Model Runner:
```
docker model run hf.co/Kutches/UncensoredV2:Q4_K_M
```

Lemonade

How to use Kutches/UncensoredV2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Kutches/UncensoredV2:Q4_K_M

Run and chat with the model

lemonade run user.UncensoredV2-Q4_K_M

List all available models

lemonade list

model clarification

by DoorZekor - opened Nov 17, 2025

Discussion

DoorZekor

Nov 17, 2025

•

edited Nov 17, 2025

Some of the names of the models in this are not clear what they are or where they came from.
My main question is, what is the wan furry model, where did it come from, wheat makes it furry?
10KE10 is also indecipherable

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