clef / code /models /common /modules /moe /configs /models_table.md
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Model hidden_size moe_intermediate shared_expert_interm n_routed_experts n_shared_experts K (top-k) activation scoring_func topk_method n_group/topk_group scaling_factor expert_bias router_bias first_k_dense num_layers parallel dense base_arch
GPT-OSS 120B 2880 2880 β€” 128 0 4 custom GELU-gated softmax simple β€”/β€” 1.0 Yes Yes all MoE 36 No GPT-OSS
DeepSeek V3 7168 2048 2048 256 1 8 SiLU/SwiGLU sigmoid noaux_tc 8/4 2.5 No correction 3 61 No DS V3
DS V4 Flash 4096 2048 2048 256 1 6 SiLU/SwiGLU (swiglu_limit=10, routed only) sqrtsoftplus (code) noaux_tc; hash L0–2 (code) β€”/β€” 1.5 No correction (code) 0 43 No DS V4
DS V4 Pro 7168 3072 3072 384 1 6 SiLU/SwiGLU (swiglu_limit=10, routed only) sqrtsoftplus (code) noaux_tc; hash L0–2 (code) β€”/β€” 2.5 No correction (code) 0 61 No DS V4
GLM-5 6144 2048 2048 256 1 8 SiLU/SwiGLU sigmoid noaux_tc 1/1 2.5 No correction 3 78 No DS V3-like
Kimi K2.5 7168 2048 2048 384 1 8 SiLU/SwiGLU sigmoid noaux_tc 1/1 2.827 No correction 1 61 No DS V3-like
Ling 1T 8192 2048 2048 256 1 8 SiLU/SwiGLU sigmoid group_limited_topk (code) 8/4 2.5 No correction (bias-enabled) 4 80 No DS V3-like
GLM-4.7 5120 1536 1536 160 1 8 SiLU/SwiGLU sigmoid (code) noaux_tc-style (code) 1/1 2.5 No correction (code) 3 92 No DS V3-like
Qwen3 235B 4096 1536 β€” 128 0 (no field) 8 SiLU/SwiGLU softmax (code) simple top-k (code) β€”/β€” β€” No No all MoE 94 No Qwen3
Qwen3.5 397B 4096 1024 1024 512 1 (inferred) 10 SiLU/SwiGLU softmax (code) simple top-k (code) β€”/β€” β€” No No all MoE 60 No Qwen3.5
Qwen3.5 35B 2048 512 512 256 1 (inferred) 8 SiLU/SwiGLU softmax (code) simple top-k (code) β€”/β€” β€” No No all MoE 40 No Qwen3.5
Qwen3-Omni Thinker 2048 768 β€” 128 0 (inferred, size=0) 8 SiLU/SwiGLU softmax (code) simple top-k (code) β€”/β€” β€” No No all MoE 48 No Qwen3-Omni
Qwen3-Omni Talker 1024 384 768 128 1 (inferred, size=768) 6 SiLU/SwiGLU softmax (code) simple top-k (code) β€”/β€” β€” No No all MoE 20 No Qwen3-Omni
Mistral Large 3 7168 4096 4096 (from vLLM) 128 1 4 SiLU/SwiGLU (code) softmax (code) simple top-k (code) 1/1 1.0 No No 3 61 No Mistral
Gemma 4 26B 2816 704 β€” (parallel dense) 128 0 (parallel dense) 8 GELU/SwiGLU softmax simple+per_expert_scale β€”/β€” per-expert learned No No (has learned scale) all MoE 30 Yes Gemma4
DS-OCR 1280 896 1792 64 2 6 SiLU/SwiGLU softmax (V2 default) greedy 1/1 1.0 (V2 default) No No 1 12 No DS V2