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MagiCoder

Open-source code LLM using OSS-Instruct synthetic data generation

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MagiCoder

Open-source code LLM using OSS-Instruct synthetic data generation

MagiCoder is a family of open-source code generation models from the University of Illinois that achieves strong coding benchmarks through a novel training technique called OSS-Instruct. OSS-Instruct uses open-source code snippets as seeds to generate diverse, high-quality synthetic coding problems, bypassing the need for human-curated instruction datasets. MagiCoder-S-CL-7B matches or exceeds much larger models on HumanEval and MBPP benchmarks.

Key Features

  • OSS-Instruct training
  • 7B parameters
  • HumanEval competitive
  • Open source
  • Synthetic data
  • Research model
#open-source#code-llm#research#synthetic-data#uiuc

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Code & Development
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