Instructions to use Neural-Hacker/OpenMath with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Neural-Hacker/OpenMath with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Neural-Hacker/OpenMath")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Neural-Hacker/OpenMath", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Neural-Hacker/OpenMath with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Neural-Hacker/OpenMath" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Neural-Hacker/OpenMath", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Neural-Hacker/OpenMath
- SGLang
How to use Neural-Hacker/OpenMath 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 "Neural-Hacker/OpenMath" \ --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": "Neural-Hacker/OpenMath", "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 "Neural-Hacker/OpenMath" \ --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": "Neural-Hacker/OpenMath", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Neural-Hacker/OpenMath with Docker Model Runner:
docker model run hf.co/Neural-Hacker/OpenMath
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README.md
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## GSM8K Accuracy Comparison
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## GSM8K Accuracy Comparison
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| Model | Accuracy (%) |
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| Qwen1.5-7B | 62.50 |
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| Param2-17B-A2.4B-Thinking | 57.32 |
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| **OpenMath** | **56.86** |
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| Llama2-70B | 56.80 |
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| Llama-3-8B | 56.00 |
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| Mistral-7B | 52.20 |
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| Gemma-7B | 46.40 |
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| DeepSeek-V2-Lite | 38.21 |
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| gpt-oss-20b | 36.54 |
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