Instructions to use amd/Instella-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amd/Instella-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="amd/Instella-3B", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("amd/Instella-3B", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use amd/Instella-3B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "amd/Instella-3B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "amd/Instella-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/amd/Instella-3B
- SGLang
How to use amd/Instella-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 "amd/Instella-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": "amd/Instella-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 "amd/Instella-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": "amd/Instella-3B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use amd/Instella-3B with Docker Model Runner:
docker model run hf.co/amd/Instella-3B
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Feel free to cite our Instella-3B models:
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year = {2025}
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```
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Feel free to cite our Instella-3B models:
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```text
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@article{instella,
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title={Instella: Fully Open Language Models with Stellar Performance},
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author={Liu, Jiang and Wu, Jialian and Yu, Xiaodong and Su, Yusheng and Mishra, Prakamya and Ramesh, Gowtham and Ranjan, Sudhanshu and Manem, Chaitanya and Sun, Ximeng and Wang, Ze and Brahma, Pratik Prabhanjan and Liu, Zicheng and Barsoum, Emad},
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journal={arXiv preprint arXiv:2511.10628},
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year={2025}
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}
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```
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