claude-botandClaude Opus 5
043d1af4d4
Five dense models have failed and the one MoE works, so the list was searched again for that shape specifically — 20-60B total, under ~6B active: glm47-flash GLM-4.7-Flash, 30B/3B, 17.8 GB gemma4-26b-a4b gemma-4-26B-A4B-it, 26B/4B, 16.9 GB qwen35-35b-a3b Qwen3.5-35B-A3B, 35B/3B, 21.5 GB nemotron35-30b-a3b Nemotron-3.5-Lightning-30B-A3B, 30B/3B, 25.5 GB Correcting an exclusion of mine: Gemma is not out. Gemma 3 has no tool support at any size — verified, "tool" appears zero times in its template — but Gemma 4 26B-A4B does, and claims 140+ languages pretrained. Writing off a family by its previous generation was sloppy. Two carry a Vulkan risk that has to be checked in the server log rather than assumed: Nemotron-3.5 interleaves real Mamba2 layers and Qwen3.5 uses DeltaNet linear attention, and llama.cpp's Vulkan SSM shaders are less exercised on Iris Xe than on Arc. Issue #19957 reported exactly this for Qwen3.5-35B-A3B, and it turned out to be a stale build fixed well before b10731 — but a silent CPU fallback would read as a slow model, not as an error, so confirm the layers are offloaded. Rejections with reasons are in the file: ERNIE-4.5-21B-A3B has tool calling only in its Thinking variant, Ling-3.0-flash is 124B total, Granite-4.0-H-Small is 9B active, gpt-oss-20b is a reasoning-effort model in Harmony format. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>