Instructions to use Zero21/OncoScope with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Zero21/OncoScope with Transformers:

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

pipe = pipeline("text-generation", model="Zero21/OncoScope")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Zero21/OncoScope", dtype="auto")

llama-cpp-python

How to use Zero21/OncoScope with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Zero21/OncoScope",
	filename="oncoscope-gemma-3n-merged.Q8_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use Zero21/OncoScope with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Zero21/OncoScope:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Zero21/OncoScope:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Zero21/OncoScope:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Zero21/OncoScope:Q8_0

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 Zero21/OncoScope:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Zero21/OncoScope:Q8_0

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 Zero21/OncoScope:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Zero21/OncoScope:Q8_0

Use Docker

docker model run hf.co/Zero21/OncoScope:Q8_0

LM Studio
Jan

vLLM

How to use Zero21/OncoScope with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Zero21/OncoScope"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Zero21/OncoScope",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Zero21/OncoScope:Q8_0

SGLang

How to use Zero21/OncoScope 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 "Zero21/OncoScope" \
    --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": "Zero21/OncoScope",
		"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 "Zero21/OncoScope" \
        --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": "Zero21/OncoScope",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Ollama
How to use Zero21/OncoScope with Ollama:
```
ollama run hf.co/Zero21/OncoScope:Q8_0
```

Unsloth Studio new

How to use Zero21/OncoScope 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 Zero21/OncoScope 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 Zero21/OncoScope to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Zero21/OncoScope to start chatting

Docker Model Runner
How to use Zero21/OncoScope with Docker Model Runner:
```
docker model run hf.co/Zero21/OncoScope:Q8_0
```

Lemonade

How to use Zero21/OncoScope with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Zero21/OncoScope:Q8_0

Run and chat with the model

lemonade run user.OncoScope-Q8_0

List all available models

lemonade list

Zero21 commited on Aug 6, 2025

Commit

6c8e05e

verified ·

1 Parent(s): 3e25607

Update README.md

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README.md +7 -6

README.md CHANGED Viewed

@@ -1,5 +1,6 @@
 ---
-base_model: google/gemma-3n-2b-e4b-chat-it
 pipeline_tag: text-generation
 library_name: transformers
 language:
@@ -147,11 +148,11 @@ The model demonstrates expert-level performance on:
 If you use this model in your research, please cite:
 ```bibtex
-@misc{oncoscope2024,
   title={OncoScope: Privacy-First Cancer Genomics Analysis with Gemma 3n},
-  author={OncoScope Team},
-  year={2024},
-  url={https://huggingface.co/oncoscope/gemma-3n-cancer-genomics}
 }
 ```
@@ -162,7 +163,7 @@ This model is released under the Apache 2.0 license, consistent with the base Ge
 ## Support & Contact
 For questions, issues, or contributions:
-- GitHub: [OncoScope Project](https://github.com/oncoscope/oncoscope)
 - Issues: Please report bugs or feature requests via GitHub Issues
 ## Disclaimer

 ---
+base_model:
+- unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit
 pipeline_tag: text-generation
 library_name: transformers
 language:
 If you use this model in your research, please cite:
 ```bibtex
+@misc{oncoscope2025,
   title={OncoScope: Privacy-First Cancer Genomics Analysis with Gemma 3n},
+  author={Sheldon Aristide},
+  year={2025},
+  url={https://huggingface.co/Zero21/OncoScope}
 }
 ```
 ## Support & Contact
 For questions, issues, or contributions:
+- GitHub: [OncoScope Project](https://github.com/Aristide021/OncoScope)
 - Issues: Please report bugs or feature requests via GitHub Issues
 ## Disclaimer