Mellum 2 12B A2.5B
Summary
JetBrains released Mellum 2 12B A2.5B, a coding-focused small MoE model with reasoning performance comparable to Qwen 3.5 9B but weaker in other tasks.
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Mellum2 Technical Report
Mellum 2 is a 12B-parameter open-weight MoE language model by JetBrains with 2.5B active parameters, specialized in software engineering tasks and optimized for efficient inference on commodity GPUs.
JetBrains/Mellum2.1-12B-A2.5B-Thinking-MTP · Hugging Face
JetBrains released Mellum2.1-12B-A2.5B-Thinking-MTP, a 12B MoE (2.5B active) thinking coding model with a multi-token prediction head for speculative decoding in vLLM. The update focuses mainly on reinforcement learning post-training in real repository environments to improve agentic software engineering tasks.
JetBrains Mellum 2.1 12B A2.5B MoE is a very good model.
JetBrains Mellum 2.1 12B A2.5B MoE 被评价为一款表现优秀的编码模型，能在 M4 Max 上以 130k 全上下文跑出 60 TPS，在 9070XT 上达到 140 TPS，且可在 8GB/12GB 显卡上流畅运行。
JetBrains's Mellum 2 (49 minute read)
JetBrains releases Mellum 2, a 12B-parameter open-weight Mixture-of-Experts language model specialized in software engineering, with competitive performance in code generation, reasoning, and tool use, available under Apache 2.0.
JetBrains/Mellum2-12B-A2.5B-Thinking
JetBrains releases Mellum2-12B-A2.5B-Thinking, an open-source Mixture-of-Experts reasoning model with 131k context length, trained with RLVR for explicit chain-of-thought reasoning.