Text Generation
Transformers
PyTorch
Safetensors
English
gpt_neox
HelpingAI
vortex
Eval Results (legacy)
text-generation-inference
Instructions to use OEvortex/vortex-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OEvortex/vortex-3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="OEvortex/vortex-3b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("OEvortex/vortex-3b") model = AutoModelForCausalLM.from_pretrained("OEvortex/vortex-3b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use OEvortex/vortex-3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "OEvortex/vortex-3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OEvortex/vortex-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/OEvortex/vortex-3b
- SGLang
How to use OEvortex/vortex-3b 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 "OEvortex/vortex-3b" \ --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": "OEvortex/vortex-3b", "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 "OEvortex/vortex-3b" \ --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": "OEvortex/vortex-3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use OEvortex/vortex-3b with Docker Model Runner:
docker model run hf.co/OEvortex/vortex-3b
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**Usage**
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To utilize the
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**CPU and GPU code**
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**Usage**
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To utilize the this model, you can access the provided Colab notebook. The notebook allows you to run the model on both CPU and GPU. Feel free to make any necessary changes to adapt it to your specific requirements.
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**CPU and GPU code**
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