Uncensored-1b-Creative_Writing_RP-GGUF

nsfw

llama-cpp

4-bit precision

roleplay

Not-For-All-Audiences

imatrix

conversational

Model card Files Files and versions

xet

Community

Instructions to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

Transformers

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="pancho101/Uncensored-1b-Creative_Writing_RP-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("pancho101/Uncensored-1b-Creative_Writing_RP-GGUF", dtype="auto")

llama-cpp-python

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="pancho101/Uncensored-1b-Creative_Writing_RP-GGUF",
	filename="Uncensored-1b-Creative_Writing_RP.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
# Run inference directly in the terminal:
llama-cli -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
# Run inference directly in the terminal:
llama-cli -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

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 pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
# Run inference directly in the terminal:
./llama-cli -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

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 pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Use Docker

docker model run hf.co/pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

LM Studio
Jan

vLLM

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

SGLang

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Ollama:
```
ollama run hf.co/pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
```

Unsloth Studio

How to use pancho101/Uncensored-1b-Creative_Writing_RP-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 pancho101/Uncensored-1b-Creative_Writing_RP-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 pancho101/Uncensored-1b-Creative_Writing_RP-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for pancho101/Uncensored-1b-Creative_Writing_RP-GGUF to start chatting

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "pancho101/Uncensored-1b-Creative_Writing_RP-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Docker Model Runner:
```
docker model run hf.co/pancho101/Uncensored-1b-Creative_Writing_RP-GGUF
```

Lemonade

How to use pancho101/Uncensored-1b-Creative_Writing_RP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Run and chat with the model

lemonade run user.Uncensored-1b-Creative_Writing_RP-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

Uncensored 1b Creative Writer RP

Este es un modelo sin censura con siete datasets + uno que he inyectado que se trata de una fusión de alta calidad de diferentes conjuntos de datos de escritura y juego de roles de HuggingFace. Esta versión cuenta con una longitud de secuencia de 8K (tokenizador Llama 3). Asegura que los entrenadores como Axolotl no descarten las muestras. Realizado con el script de https://huggingface.co/xzuyn

Lea la tarjeta del conjunto de datos para obtener más información: https://huggingface.co/datasets/Dampfinchen/Creative_Writing_Multiturn -> Si puede entrenar con una longitud de secuencia de entrada de 16K o más, definitivamente úsela en su lugar.

Tenga en cuenta que este material puede contener todo tipo de datos explícitos problemáticos. No me hago responsable de ello ni lo apruebo. Descargue el material únicamente si conoce la situación legal de los contenidos ficticios escritos de cualquier tipo en su país.

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GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

We're not able to determine the quantization variants.

View all variants

Model tree for pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Base model

carsenk/llama3.2_1b_2025_uncensored_v2

Quantized

(12)

this model

Uncensored 1b Creative Writer RP

Model tree for pancho101/Uncensored-1b-Creative_Writing_RP-GGUF

Datasets used to train pancho101/Uncensored-1b-Creative_Writing_RP-GGUF