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[Model] Add support for JetBrains' Mellum v2 code generation model (#27375)

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Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
Co-authored-by: Jiminator <69131491+Jiminator@users.noreply.github.com>
Co-authored-by: Alex Nails <alex.nails@radixark.ai>
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Madeesh Kannan
2026-07-13 22:54:38 -07:00
committed by GitHub
co-authored by gemini-code-assist[bot] Jiminator Alex Nails
parent 7e229e2a81
commit 702bddcee8
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docs_new/docs/supported-models/generative_models.mdx
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@@ -288,5 +288,10 @@ in the GitHub search bar.
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>poolside/Laguna-XS.2</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>Poolside's hybrid sliding-window-attention MoE model (256 routed experts, 1 shared expert, sigmoid router) with per-layer-type RoPE (YARN on full-attention layers, default on sliding-attention layers) and a softplus per-head attention gate.</td>
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<td style={{padding: "9px 12px", fontWeight: 500, backgroundColor: "rgba(255,255,255,0.02)"}}><strong>Mellum 2</strong> (JetBrains)</td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.05)"}}><code>JetBrains/Mellum2-12B-A2.5B-Base</code>, <code>JetBrains/Mellum2-12B-A2.5B-Thinking</code></td>
<td style={{padding: "9px 12px", backgroundColor: "rgba(255,255,255,0.02)"}}>JetBrains' Qwen3-MoE-based code generation model with interleaved sliding-window/full attention, per-layer-type RoPE, and per-layer dense/sparse MLP routing.</td>
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