Instructions to use stabilityai/stablelm-2-1_6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stabilityai/stablelm-2-1_6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="stabilityai/stablelm-2-1_6b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("stabilityai/stablelm-2-1_6b") model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-2-1_6b") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use stabilityai/stablelm-2-1_6b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "stabilityai/stablelm-2-1_6b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "stabilityai/stablelm-2-1_6b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/stabilityai/stablelm-2-1_6b
- SGLang
How to use stabilityai/stablelm-2-1_6b 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 "stabilityai/stablelm-2-1_6b" \ --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": "stabilityai/stablelm-2-1_6b", "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 "stabilityai/stablelm-2-1_6b" \ --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": "stabilityai/stablelm-2-1_6b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use stabilityai/stablelm-2-1_6b with Docker Model Runner:
docker model run hf.co/stabilityai/stablelm-2-1_6b
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README.md
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# `Stable LM 2 1.6B`
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Please note: For commercial use, please refer to https://stability.ai/
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## Model Description
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* **Language(s)**: English
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* **Paper**: [Stable LM 2 1.6B Technical Report](https://drive.google.com/file/d/1JYJHszhS8EFChTbNAf8xmqhKjogWRrQF/view?usp=sharing)
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* **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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* **License**: [Stability AI
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* **Commercial License**: to use this model commercially, please refer to https://stability.ai/
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* **Contact**: For questions and comments about the model, please email `lm@stability.ai`
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### Model Architecture
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# `Stable LM 2 1.6B`
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Please note: For commercial use, please refer to https://stability.ai/license
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## Model Description
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* **Language(s)**: English
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* **Paper**: [Stable LM 2 1.6B Technical Report](https://drive.google.com/file/d/1JYJHszhS8EFChTbNAf8xmqhKjogWRrQF/view?usp=sharing)
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* **Library**: [GPT-NeoX](https://github.com/EleutherAI/gpt-neox)
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* **License**: [Stability AI Community License](https://huggingface.co/stabilityai/stablelm-2-1_6b/blob/main/LICENSE.md).
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* **Commercial License**: to use this model commercially, please refer to https://stability.ai/license
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* **Contact**: For questions and comments about the model, please email `lm@stability.ai`
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### Model Architecture
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