Instructions to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Transformers:

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

pipe = pipeline("text-generation", model="N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF 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 N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF: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 N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF: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 N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Use Docker

docker model run hf.co/N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "N-Bot-Int/OpenElla-StoryWriter-TypeB-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": "N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

SGLang

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-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 "N-Bot-Int/OpenElla-StoryWriter-TypeB-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": "N-Bot-Int/OpenElla-StoryWriter-TypeB-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 "N-Bot-Int/OpenElla-StoryWriter-TypeB-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": "N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Ollama:
```
ollama run hf.co/N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
```
Unsloth Desktop

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Docker Model Runner:
```
docker model run hf.co/N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M
```

Lemonade

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.OpenElla-StoryWriter-TypeB-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

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 N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "N-Bot-Int/OpenElla-StoryWriter-TypeB-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

ItsMeDevRoland commited on Mar 14

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----
-license: apache-2.0
-tags:
-- unsloth
-- Uncensored
-- text-generation-inference
-- transformers
-- unsloth
-- llama
-- trl
-- roleplay
-- conversational
-datasets:
-- iamketan25/roleplay-instructions-dataset
-- N-Bot-Int/Iris-Uncensored-R1
-- N-Bot-Int/Moshpit-Combined-R2-Uncensored
-- N-Bot-Int/Mushed-Dataset-Uncensored
-- N-Bot-Int/Muncher-R1-Uncensored
-- N-Bot-Int/Millia-R1_DPO
-language:
-- en
-base_model:
-- N-Bot-Int/MiniMaid-L2
-pipeline_tag: text-generation
-metrics:
-- character
----
-# Support Us Through
-  - [![ko-fi](https://ko-fi.com/img/githubbutton_sm.svg)](https://ko-fi.com/J3J61D8NHV)
-  - [https://ko-fi.com/nexusnetworkint](Official Ko-FI link!)
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6633a73004501e16e7896b86/sTBfXV91g1pnAed24WdC7.png)
-# GGUF Version
-  **GGUF** with Quants! Allowing you to run models using KoboldCPP and other AI Environments!
-# Quantizations:
-| Quant Type    | Benefits                                          | Cons                                              |
-|---------------|---------------------------------------------------|---------------------------------------------------|
-| **Q4_K_M**    | ✅ Smallest size (fastest inference)              | ❌ Lowest accuracy compared to other quants      |
-|               | ✅ Requires the least VRAM/RAM                    | ❌ May struggle with complex reasoning           |
-|               | ✅ Ideal for edge devices & low-resource setups   | ❌ Can produce slightly degraded text quality    |
-| **Q5_K_M**    | ✅ Better accuracy than Q4, while still compact   | ❌ Slightly larger model size than Q4            |
-|               | ✅ Good balance between speed and precision       | ❌ Needs a bit more VRAM than Q4                 |
-|               | ✅ Works well on mid-range GPUs                   | ❌ Still not as accurate as higher-bit models    |
-| **Q8_0**      | ✅ Highest accuracy (closest to full model)       | ❌ Requires significantly more VRAM/RAM          |
-|               | ✅ Best for complex reasoning & detailed outputs  | ❌ Slower inference compared to Q4 & Q5          |
-|               | ✅ Suitable for high-end GPUs & serious workloads | ❌ Larger file size (takes more storage)         |
-# Model Details:
-  Read the Model details on huggingface
-  [Model Detail Here!](https://huggingface.co/N-Bot-Int/MiniMaid-L3)