Instructions to use oxyapi/oxy-1-small-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use oxyapi/oxy-1-small-GGUF with Transformers:

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

pipe = pipeline("text-generation", model="oxyapi/oxy-1-small-GGUF")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("oxyapi/oxy-1-small-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use oxyapi/oxy-1-small-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 oxyapi/oxy-1-small-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf oxyapi/oxy-1-small-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 oxyapi/oxy-1-small-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf oxyapi/oxy-1-small-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 oxyapi/oxy-1-small-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf oxyapi/oxy-1-small-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 oxyapi/oxy-1-small-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf oxyapi/oxy-1-small-GGUF:Q4_K_M

Use Docker

docker model run hf.co/oxyapi/oxy-1-small-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use oxyapi/oxy-1-small-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "oxyapi/oxy-1-small-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": "oxyapi/oxy-1-small-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/oxyapi/oxy-1-small-GGUF:Q4_K_M

SGLang

How to use oxyapi/oxy-1-small-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 "oxyapi/oxy-1-small-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": "oxyapi/oxy-1-small-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 "oxyapi/oxy-1-small-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": "oxyapi/oxy-1-small-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use oxyapi/oxy-1-small-GGUF with Ollama:
```
ollama run hf.co/oxyapi/oxy-1-small-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use oxyapi/oxy-1-small-GGUF with Docker Model Runner:
```
docker model run hf.co/oxyapi/oxy-1-small-GGUF:Q4_K_M
```

Lemonade

How to use oxyapi/oxy-1-small-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull oxyapi/oxy-1-small-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.oxy-1-small-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

oxy-1-small-GGUF

File size: 1,210 Bytes

---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
tags:
- role-play
- fine-tuned
- qwen2.5
base_model:
- oxyapi/oxy-1-small
library_name: transformers
---

![Oxy 1 Small](https://cdn-uploads.huggingface.co/production/uploads/64fb80c8bb362cbf2ff96c7e/tTIVIblPUbTYnlvHQQjXB.png)

## Model Details

- **Model Name**: Oxy 1 Small
- **Model ID**: [oxyapi/oxy-1-small](https://huggingface.co/oxyapi/oxy-1-small)
- **Base Model**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2-1.5B)
- **Model Type**: Chat Completions
- **Prompt Format**: ChatML
- **License**: Apache-2.0
- **Language**: English
- **Tokenizer**: [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct)
- **Max Input Tokens**: 32,768
- **Max Output Tokens**: 8,192

## License

This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0).

## Citation

If you find Oxy 1 Small useful in your research or applications, please cite it as:

```
@misc{oxy1small2024,
  title={Oxy 1 Small: A Fine-Tuned Qwen2.5-14B-Instruct Model for Role-Play},
  author={Oxygen (oxyapi)},
  year={2024},
  howpublished={\url{https://huggingface.co/oxyapi/oxy-1-small}},
}
```