Instructions to use ccore/opt-125-smart-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ccore/opt-125-smart-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ccore/opt-125-smart-test")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ccore/opt-125-smart-test") model = AutoModelForCausalLM.from_pretrained("ccore/opt-125-smart-test") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ccore/opt-125-smart-test with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ccore/opt-125-smart-test" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ccore/opt-125-smart-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ccore/opt-125-smart-test
- SGLang
How to use ccore/opt-125-smart-test 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 "ccore/opt-125-smart-test" \ --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": "ccore/opt-125-smart-test", "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 "ccore/opt-125-smart-test" \ --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": "ccore/opt-125-smart-test", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ccore/opt-125-smart-test with Docker Model Runner:
docker model run hf.co/ccore/opt-125-smart-test
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README.md
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license: gpl-3.0
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prompt format:
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[INSTRUCTION] what's the capital of Brasil? ?
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license: gpl-3.0
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hf-causal (pretrained=ccore/opt-125-smart-test), limit: None, provide_description: False, num_fewshot: 0, batch_size: None
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| Task |Version| Metric |Value | |Stderr|
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|openbookqa| 0|acc |0.1560|± |0.0162|
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| | |acc_norm|0.3420|± |0.0212|
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|piqa | 0|acc |0.6197|± |0.0113|
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| | |acc_norm|0.6023|± |0.0114|
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prompt format:
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[INSTRUCTION] what's the capital of Brasil? ?
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