This model card provides details about a code language model (LLM) based on Mistral 7B architecture. It has been trained on a combination of three datasets: ise-uiuc/Magicoder-OSS-Instruct-75K, HuggingFaceH4/CodeAlpaca_20K, and theblackcat102/evol-codealpaca-v1.
Model Details
Model Description
This model is a language model fine-tuned for code generation tasks, leveraging the Mistral 7B base model architecture. It has been trained on a combination of three datasets, namely Magicoder-OSS-Instruct-75K, CodeAlpaca_20K, and evol-codealpaca-v1. The model aims to assist developers in generating code snippets for various programming tasks, ranging from natural language instructions to specific coding prompts.
Developed by: Manoj Athreya A
Model type: Language model (LLM)
License: [Apache 2.0 License]
Finetuned from model: Mistral 7B
Intended Uses
Code generation from natural language prompts.
Assisting developers in completing code snippets.
Augmenting code-related tasks with automated generation capabilities.
Limitations and Ethical Considerations
Bias: As with any language model, biases present in the training data may manifest in the generated code snippets.
Accuracy: While the model aims to generate accurate code, it may occasionally produce incorrect or suboptimal solutions, especially for complex tasks.
Security: Generated code should be reviewed for security vulnerabilities, as the model may inadvertently produce insecure implementations.
Ethical Use: Users are encouraged to employ the model responsibly and ethically, avoiding harmful or malicious use cases.
Recommendations
Fine-tuning the model on specific domains or tasks may improve its performance.
Validate generated code in real-world scenarios to ensure its correctness and reliability.
Provide feedback to continuously improve the model's performance and address any issues encountered during usage.
License
The source code in this repo is licensed under the Apache 2.0 license.
