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@@ -9,11 +9,11 @@ language:
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  tags:
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  - solidity
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  - code
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- - braindao/iq-code-evmind-v1-llama3-coder-8b-instruct
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  ---
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- The iq-code-evmind-v1-code-llama3-8b-instruct-pro 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.
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- Key Features:
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  Solidity Code Generation: The model can generate Solidity code snippets, offering quick and accurate solutions for various development needs.
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  Query Resolution: It answers technical and conceptual questions about Solidity, covering basic concepts to advanced topics, facilitating learning and problem-solving.
@@ -27,13 +27,13 @@ Base Model:
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  This model is based on ajibawa-2023/Code-Llama-3-8B, known for its advanced code generation capabilities and deep understanding of programming languages.
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- How to Use:
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  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.
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  Example Usage:
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- python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model_name = "your-username/iq-code-evmind-v1-code-llama3-8b-instruct-pro"
@@ -44,4 +44,6 @@ input_text = "How can I define a basic contract structure in Solidity?"
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  inputs = tokenizer(input_text, return_tensors="pt")
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  outputs = model.generate(**inputs)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 
 
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  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.
 
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  tags:
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  - solidity
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  - code
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+ - ajibawa-2023/Code-Llama-3-8B
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  ---
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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.
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+ ## Key Features:
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  Solidity Code Generation: The model can generate Solidity code snippets, offering quick and accurate solutions for various development needs.
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  Query Resolution: It answers technical and conceptual questions about Solidity, covering basic concepts to advanced topics, facilitating learning and problem-solving.
 
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  This model is based on ajibawa-2023/Code-Llama-3-8B, known for its advanced code generation capabilities and deep understanding of programming languages.
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+ ## How to Use:
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  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.
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  Example Usage:
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+ ```python
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  from transformers import AutoModelForCausalLM, AutoTokenizer
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  model_name = "your-username/iq-code-evmind-v1-code-llama3-8b-instruct-pro"
 
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  inputs = tokenizer(input_text, return_tensors="pt")
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  outputs = model.generate(**inputs)
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  print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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+ ```
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+
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  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.