Instructions to use bobboyms/tynerox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bobboyms/tynerox with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bobboyms/tynerox")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bobboyms/tynerox", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use bobboyms/tynerox with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bobboyms/tynerox" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bobboyms/tynerox", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bobboyms/tynerox
- SGLang
How to use bobboyms/tynerox 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 "bobboyms/tynerox" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bobboyms/tynerox", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "bobboyms/tynerox" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bobboyms/tynerox", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bobboyms/tynerox with Docker Model Runner:
docker model run hf.co/bobboyms/tynerox
| from setuptools import setup, find_packages | |
| setup( | |
| name="tynerox", | |
| version="0.1.0", | |
| description="TyneRox: custom rotary-transformer causal LM", | |
| author="Thiago Luiz Rodrigues", | |
| author_email="<EMAIL>", | |
| url="https://github.com/seu-usuario/tynerox", | |
| license="Apache-2.0", | |
| packages=find_packages("src"), | |
| package_dir={"": "src"}, | |
| install_requires=[ | |
| "torch>=2.6.0,<3.0.0", | |
| "transformers[torch]>=4.50.3,<5.0.0", | |
| "flash-attn>=2.7.4.post1,<3.0.0", | |
| ], | |
| ) | |