Text Generation
Transformers
Safetensors
English
codegen
Solidity
BlockChain
Smart Contracts
Code Generation
Instructions to use Chain-GPT/Solidity-LLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chain-GPT/Solidity-LLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Chain-GPT/Solidity-LLM")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Chain-GPT/Solidity-LLM") model = AutoModelForCausalLM.from_pretrained("Chain-GPT/Solidity-LLM") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Chain-GPT/Solidity-LLM with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Chain-GPT/Solidity-LLM" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Chain-GPT/Solidity-LLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Chain-GPT/Solidity-LLM
- SGLang
How to use Chain-GPT/Solidity-LLM 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 "Chain-GPT/Solidity-LLM" \ --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": "Chain-GPT/Solidity-LLM", "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 "Chain-GPT/Solidity-LLM" \ --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": "Chain-GPT/Solidity-LLM", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Chain-GPT/Solidity-LLM with Docker Model Runner:
docker model run hf.co/Chain-GPT/Solidity-LLM
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README.md
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inference:
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parameters:
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provider: "spaces"
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space_url: "https://huggingface.co/
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tags:
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- Solidity
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- BlockChain
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### Model Sources
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Model is deployed on huggingface space for inference
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- **Demo:** [Demo On Hugging Face Space](https://huggingface.co/spaces/Chain-GPT/
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# Model Comparison
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We have compared our model with the following models
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inference:
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parameters:
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provider: "spaces"
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space_url: "https://huggingface.co/Chain-GPT/Solidity-LLM/"
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tags:
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- Solidity
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- BlockChain
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### Model Sources
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Model is deployed on huggingface space for inference
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- **Demo:** [Demo On Hugging Face Space](https://huggingface.co/spaces/Chain-GPT/ChainGPT-Solidity-LLM)
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# Model Comparison
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We have compared our model with the following models
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