| | --- |
| | license: other |
| | license_name: llama3 |
| | license_link: LICENSE |
| | datasets: |
| | - braindao/smart-contracts-instructions-cleaned |
| | language: |
| | - en |
| | tags: |
| | - solidity |
| | - code |
| | - ajibawa-2023/Code-Llama-3-8B |
| | --- |
| | This model is a finely-tuned version specifically designed to generate and resolve queries related to the Solidity programming language. This model has been developed from the robust foundation provided by `ajibawa-2023/Code-Llama-3-8B` and has undergone specialized fine-tuning to optimize its performance in tasks associated with Solidity, the primary language used for developing smart contracts on the Ethereum blockchain. |
| |
|
| | ## Key Features: |
| |
|
| | Solidity Code Generation: The model can generate Solidity code snippets, offering quick and accurate solutions for various development needs. |
| | Query Resolution: It answers technical and conceptual questions about Solidity, covering basic concepts to advanced topics, facilitating learning and problem-solving. |
| | Customized Optimization: The fine-tuning ensures the model is optimized to handle specific contexts and nuances of Solidity, providing more relevant and detailed responses. |
| | Applications: |
| |
|
| | Smart Contract Development: Assists developers in creating, optimizing, and debugging smart contracts in Solidity. |
| | Education and Training: Serves as an educational tool for those looking to learn Solidity, providing clear explanations and practical examples. |
| | Technical Assistance: Acts as a virtual technical assistant, answering queries and providing solutions to complex issues in smart contract development. |
| | Base Model: |
| |
|
| | This model is based on ajibawa-2023/Code-Llama-3-8B, known for its advanced code generation capabilities and deep understanding of programming languages. |
| |
|
| | ## How to Use: |
| |
|
| | You can integrate this model into your projects via the Hugging Face platform, utilizing the provided APIs and tools to facilitate its implementation and use in various applications. |
| |
|
| | Example Usage: |
| |
|
| | ```python |
| | from transformers import AutoModelForCausalLM, AutoTokenizer |
| | |
| | model_name = "your-username/iq-code-evmind-v1-code-llama3-8b-instruct-pro" |
| | tokenizer = AutoTokenizer.from_pretrained(model_name) |
| | model = AutoModelForCausalLM.from_pretrained(model_name) |
| | |
| | input_text = "How can I define a basic contract structure in Solidity?" |
| | inputs = tokenizer(input_text, return_tensors="pt") |
| | outputs = model.generate(**inputs) |
| | print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
| | ``` |
| |
|
| | With iq-code-evmind-v1-code-llama3-8b-instruct-pro, you will have a powerful and specialized tool to handle everything related to Solidity development, from code generation to technical query resolution. |
