Instructions to use redoop/opt-1.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redoop/opt-1.3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="redoop/opt-1.3b")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("redoop/opt-1.3b") model = AutoModelForCausalLM.from_pretrained("redoop/opt-1.3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use redoop/opt-1.3b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "redoop/opt-1.3b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "redoop/opt-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/redoop/opt-1.3b
- SGLang
How to use redoop/opt-1.3b 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 "redoop/opt-1.3b" \ --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": "redoop/opt-1.3b", "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 "redoop/opt-1.3b" \ --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": "redoop/opt-1.3b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use redoop/opt-1.3b with Docker Model Runner:
docker model run hf.co/redoop/opt-1.3b
Download pytorch_model.bin from redoop/opt-1.3b: direct link, hf CLI and curl.
- Browser
- Download file 2.86 GB
-
https://huggingface.co/redoop/opt-1.3b/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://redoop/opt-1.3b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/redoop/opt-1.3b/resolve/main/pytorch_model.bin
2.86 GB
- Xet hash:
- 020598a0b94348508754e2e44411bf80bee6b731668e54b257c38f9d63b6c54f
- Size of remote file:
- 2.86 GB
- SHA256:
- c7d690d556e7a8874bcdcea7f8aa7a95ed5a3d8bfa2f2605c6f8f4aa6f8b96eb
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