Edit model card

Overview: The braindao/iq-code-evmind-v3.1-granite-8b-instruct-average is a highly specialized language model designed to generate Solidity code efficiently and accurately. This model leverages the robust capabilities of the ibm-granite/granite-8b-code-instruct architecture, fine-tuned specifically on the braindao/Solidity-Dataset.

Dataset: The model training utilized the braindao/Solidity-Dataset, particularly focusing on the "average" column, which provides a well-balanced perspective on Solidity code examples. This dataset was meticulously curated to enhance the model's understanding and generation of high-quality Solidity code.

Capabilities:

  • Code Generation: Expertly generates Solidity code snippets, functions, and smart contracts.
  • Syntax Understanding: Displays an in-depth understanding of Solidity syntax and best practices.
  • Adaptability: Can adapt to various coding styles and requirements based on the provided prompts.
  • Efficiency: Optimized to deliver accurate and contextually relevant code outputs quickly.

Applications:

  • Smart Contract Development: Ideal for developers looking to create, modify, or optimize smart contracts on the Ethereum blockchain.
  • Educational Use: A valuable tool for learners and educators in blockchain development and Solidity programming.
  • Automation: Can be integrated into development workflows to automate routine coding tasks, enhancing productivity.
Downloads last month
16
Safetensors
Model size
8.05B params
Tensor type
FP16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train braindao/iq-code-evmind-v3.1-granite-8b-instruct-average