JetBrains open-sources Mellum 2.1, which outperformed Qwen 3.5-9B in LiveCodeBench tests.
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Dynamic Insight Beating AI Flash News: JetBrains releases open-source programming model Mellum2.1. Compared to Mellum2 launched in June this year, the new version retains a total of 12 billion parameters, with only 2.5 billion activated per generation, but it is more adept at identifying code issues, modifying files, and verifying results. JetBrains did not alter the model architecture, primarily enhancing capabilities via reinforcement learning. The team executed millions of sandbox tasks across thousands of environments. During training, the model invoked terminals and file-editing tools in real code repositories, earning rewards when it passed tests. JetBrains’ self-tests show its success rate on SWE-bench Verified (real-world software problem repair test) has jumped from 2% of the old version to 47%, slightly lower than Qwen3.5-9B’s 50%. However, in LiveCodeBench v6 programming tests, Mellum2.1 scored 82%, outperforming Qwen’s 75.4%. JetBrains also noted that under high load on a single H200, the new model’s output throughput is nearly twice that of Qwen3.5-9B. The model weights and GGUF quantized version are now available on Hugging Face under the Apache 2.0 license, enabling local deployment for developers.
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