Magicoder is a family of large language models specifically designed for code generation, addressing the need for high-quality, low-bias instruction data. It targets developers and researchers seeking advanced code synthesis capabilities, offering state-of-the-art performance on benchmarks like HumanEval and MBPP.

How It Works

Magicoder leverages a novel approach called OSS-Instruct, which uses open-source code snippets to enrich and diversify LLM-synthesized instruction data. This method mitigates inherent biases in purely synthetic data, leading to more realistic and controllable code generation. The models are further fine-tuned on datasets like Evol-Instruct for enhanced instruction-following.

Quick Start & Requirements

• Install/Run: Use Hugging Face transformers pipeline.
• Prerequisites: Python, PyTorch, CUDA (for GPU acceleration).
• Resource Footprint: Requires significant GPU memory for 7B models (e.g., torch_dtype=torch.bfloat16, device_map="auto").
• Demo: Online Gradio demo and local setup script available.
• Docs: Hugging Face Link

Highlighted Details

• Magicoder-S-DS-6.7B achieves 76.8 on HumanEval, outperforming GPT-3.5-turbo-1106 and Gemini Ultra.
• Models are available in 7B and 6.7B parameter sizes.
• Base models include Llama2 (for CL series) and DeepSeek-Coder (for DS series).
• Trained on proprietary OSS-Instruct (75K) and Evol-Instruct (110K) datasets.

Maintenance & Community

• Project inspired several other open-source coding models.
• Contact information provided for key contributors.
• No explicit community channels (Discord/Slack) or roadmap links are present in the README.

Licensing & Compatibility

• Licenses vary by base model: Llama2 for CL series, DeepSeek for DS series.
• Compatible with commercial use, subject to the underlying base model's license terms.

Limitations & Caveats

• Models may produce errors or misleading content, particularly for non-coding tasks.
• Usage is subject to OpenAI's terms of use due to training data origins.
• The project does not aim to compete with OpenAI's commercial products.