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Maincoder-1B

Maincoder-1B is a compact code-focused LLM with modern transformer features like RoPE embeddings, grouped-query attention and deep layers. Trained and tuned for code synthesis and repair, especially in Python, it achieves strong HumanEval results around 76 percent and is shipped in standard, GGUF and ONNX variants so it can run efficiently on consumer GPUs, CPUs or directly in-browser via Transformers.js and tools like llama.cpp.
New Text Gen 7
Released: January 14, 2026

Overview

Maincoder-1B is Maincode’s 1B-parameter transformer coding model, optimized for Python code generation and completion, scoring about 76 percent on HumanEval while remaining lightweight for local deployment.

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Last updated: January 14, 2026
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