Instructions to use cuijian0819/gpt-oss-20b-function-calling-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use cuijian0819/gpt-oss-20b-function-calling-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 cuijian0819/gpt-oss-20b-function-calling-gguf:F16
# Run inference directly in the terminal:
llama cli -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16
# Run inference directly in the terminal:
llama cli -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

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 cuijian0819/gpt-oss-20b-function-calling-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

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 cuijian0819/gpt-oss-20b-function-calling-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

Use Docker

docker model run hf.co/cuijian0819/gpt-oss-20b-function-calling-gguf:F16

LM Studio
Jan

vLLM

How to use cuijian0819/gpt-oss-20b-function-calling-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cuijian0819/gpt-oss-20b-function-calling-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": "cuijian0819/gpt-oss-20b-function-calling-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cuijian0819/gpt-oss-20b-function-calling-gguf:F16

Ollama
How to use cuijian0819/gpt-oss-20b-function-calling-gguf with Ollama:
```
ollama run hf.co/cuijian0819/gpt-oss-20b-function-calling-gguf:F16
```

Unsloth Studio

How to use cuijian0819/gpt-oss-20b-function-calling-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 cuijian0819/gpt-oss-20b-function-calling-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 cuijian0819/gpt-oss-20b-function-calling-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for cuijian0819/gpt-oss-20b-function-calling-gguf to start chatting

How to use cuijian0819/gpt-oss-20b-function-calling-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

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": "cuijian0819/gpt-oss-20b-function-calling-gguf:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use cuijian0819/gpt-oss-20b-function-calling-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf cuijian0819/gpt-oss-20b-function-calling-gguf:F16

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 "cuijian0819/gpt-oss-20b-function-calling-gguf:F16" \
  --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"

Docker Model Runner
How to use cuijian0819/gpt-oss-20b-function-calling-gguf with Docker Model Runner:
```
docker model run hf.co/cuijian0819/gpt-oss-20b-function-calling-gguf:F16
```

Lemonade

How to use cuijian0819/gpt-oss-20b-function-calling-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cuijian0819/gpt-oss-20b-function-calling-gguf:F16

Run and chat with the model

lemonade run user.gpt-oss-20b-function-calling-gguf-F16

List all available models

lemonade list

Hermes Agent

How to use cuijian0819/gpt-oss-20b-function-calling-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 cuijian0819/gpt-oss-20b-function-calling-gguf:F16

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 cuijian0819/gpt-oss-20b-function-calling-gguf:F16

Run Hermes

hermes

Atomic Chat

GPT-OSS-20B Function Calling GGUF

This repository contains the GPT-OSS-20B model fine-tuned on function calling data, converted to GGUF format for efficient inference with llama.cpp and Ollama.

Model Details

Base Model: openai/gpt-oss-20b
Fine-tuning Dataset: Salesforce/xlam-function-calling-60k (2000 samples)
Fine-tuning Method: LoRA (r=8, alpha=16)
Context Length: 131,072 tokens
Model Size: 20B parameters

Files

gpt-oss-20b-function-calling-f16.gguf: F16 precision model (best quality)
gpt-oss-20b-function-calling.Q4_K_M.gguf: Q4_K_M quantized model (recommended for inference)

Usage

With Ollama (Recommended)

# Direct from Hugging Face
ollama run hf.co/cuijian0819/gpt-oss-20b-function-calling-gguf:Q4_K_M

# Or create local model
ollama create my-gpt-oss -f Modelfile
ollama run my-gpt-oss

With llama.cpp

# Download model
wget https://huggingface.co/cuijian0819/gpt-oss-20b-function-calling-gguf/resolve/main/gpt-oss-20b-function-calling.Q4_K_M.gguf

# Run inference
./llama-cli -m gpt-oss-20b-function-calling.Q4_K_M.gguf -p "Your prompt here"

Example Modelfile for Ollama

FROM ./gpt-oss-20b-function-calling.Q4_K_M.gguf

TEMPLATE """<|start|>user<|message|>{{ .Prompt }}<|end|>
<|start|>assistant<|channel|>final<|message|>"""

PARAMETER temperature 0.7
PARAMETER top_p 0.9

SYSTEM """You are a helpful AI assistant that can call functions to help users."""

PyTorch Version

For training and fine-tuning with PyTorch/Transformers, check out the PyTorch version: cuijian0819/gpt-oss-20b-function-calling

Performance

The Q4_K_M quantized version provides excellent performance:

Size Reduction: ~62% smaller than F16
Memory Requirements: ~16GB VRAM recommended
Quality: Minimal degradation from quantization

License

This model inherits the license from the base openai/gpt-oss-20b model.

Citation

@misc{gpt-oss-20b-function-calling-gguf,
  title={GPT-OSS-20B Function Calling GGUF},
  author={cuijian0819},
  year={2025},
  url={https://huggingface.co/cuijian0819/gpt-oss-20b-function-calling-gguf}
}

Downloads last month: 2,722

GGUF

Model size

21B params

Architecture

gpt-oss

Hardware compatibility

4-bit

16-bit

Model tree for cuijian0819/gpt-oss-20b-function-calling-gguf

Base model

openai/gpt-oss-20b

Quantized

(227)

this model