braindao_-_iq-code-evmind-v2-llama3-code-8b-instruct-gguf

Quantization made by Richard Erkhov.

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iq-code-evmind-v2-llama3-code-8b-instruct - GGUF

• Model creator: https://huggingface.co/braindao/
• Original model: https://huggingface.co/braindao/iq-code-evmind-v2-llama3-code-8b-instruct/

Original model description:

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

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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:

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.