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# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
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tags:
- code-llm
- mistral-7b
- language-model
---
# Model Card for 01Coder 7B
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.
## Version History
- 01-Coder-7Bv0.1
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