---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
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