Instructions to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF",
	filename="gpt-oss-20b-finetuned-f16.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 khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

Use Docker

docker model run hf.co/khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "khadim-hussain/gpt-oss-20b-stem-reasoning-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": "khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

Ollama
How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with Ollama:
```
ollama run hf.co/khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
```

Unsloth Studio

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF to start chatting

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

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": "khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-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 khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with Docker Model Runner:
```
docker model run hf.co/khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M
```

Lemonade

How to use khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.gpt-oss-20b-stem-reasoning-GGUF-Q4_K_M

List all available models

lemonade list

GPT-OSS-20B STEM Reasoning (GGUF Q8_0)

GGUF quantized version of GPT-OSS-20B fine-tuned for STEM reasoning tasks. Ready for use with Ollama, llama.cpp, LM Studio, and other GGUF-compatible tools.

Author: Khadim Hussain

Available Versions

Model	Size	Description
gpt-oss-20b-stem-reasoning	~61MB	LoRA adapter only
gpt-oss-20b-stem-reasoning-merged	~41GB	Full merged model (bf16)
gpt-oss-20b-stem-reasoning-GGUF	~21GB	GGUF Q8_0 (this repo)

Files

Filename	Quant	Size	Description
`gpt-oss-20b-finetuned-f16.gguf`	F16	39GB	Full 16-bit precision, best quality
`gpt-oss-20b-finetuned-q8_0.gguf`	Q8_0	21GB	8-bit quantization, excellent quality
`gpt-oss-20b-finetuned-q4_k_m.gguf`	Q4_K_M	15GB	4-bit quantization, good balance of size/quality

Usage with Ollama

# Download the GGUF file and Modelfile
# Then create and run:
ollama create gpt-oss-20b-stem -f Modelfile
ollama run gpt-oss-20b-stem

Modelfile

FROM ./gpt-oss-20b-finetuned-q8_0.gguf

TEMPLATE """<|start|>system<|message|>You are a helpful assistant trained by OpenAI.

Reasoning: medium

# Valid channels: analysis, commentary, final. Channel must be included for every message.<|end|><|start|>user<|message|>{{ .Prompt }}<|end|><|start|>assistant"""

PARAMETER stop "<|return|>"
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER num_ctx 4096
PARAMETER num_predict 2048

Usage with llama.cpp

./llama-cli -m gpt-oss-20b-finetuned-q8_0.gguf \
  -p "<|start|>system<|message|>You are a helpful assistant.<|end|><|start|>user<|message|>What is DNA?<|end|><|start|>assistant" \
  -n 512

Usage with LM Studio

Download gpt-oss-20b-finetuned-q8_0.gguf
Import into LM Studio
Use the Harmony chat template

Harmony Response Format

GPT-OSS uses the OpenAI Harmony format. The model outputs:

<|channel|>analysis - Thinking/reasoning (displayed as "Thinking..." in Ollama)
<|channel|>final - Final answer

Example:

Thinking...
DNA stands for deoxyribonucleic acid. It is a polymer made from nucleotides...
...done thinking.

DNA is a molecule that carries genetic instructions used in growth, development, and reproduction.

Training Details

Metric	Value
Base Model	openai/gpt-oss-20b
Train Loss	1.087
Eval Loss	0.837
Training Examples	4,260
Quantization	Q8_0 (8-bit)

Acknowledgments

OpenAI - GPT-OSS-20B base model
llama.cpp - GGUF format and tools
Unsloth - Fine-tuning framework
Hugging Face - TRL, PEFT, Transformers

Citation

If you use this model, please cite:

@misc{hussain2026gptoss-stem,
  author = {Hussain, Khadim},
  title = {GPT-OSS-20B STEM Reasoning: Fine-tuned for Science Q&A with Chain-of-Thought},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF}
}

Also cite the original GPT-OSS model:

@misc{openai2025gptoss,
  author = {OpenAI},
  title = {GPT-OSS: Open-Weight Language Models},
  year = {2025},
  url = {https://github.com/openai/gpt-oss}
}

License

Apache 2.0 (inherited from GPT-OSS)

Downloads last month: 19

GGUF

Model size

21B params

Architecture

gpt-oss

Hardware compatibility

4-bit

8-bit

16-bit

Model tree for khadim-hussain/gpt-oss-20b-stem-reasoning-GGUF

Base model

openai/gpt-oss-20b

Quantized

(203)

this model