Model overview · Qwen3-Next

Qwen3-Next 80B-A3B

Generated from Architecture IR 0.1.0 · revision b664bd1e89 · report a correction

Overview

Architecture overview of Qwen3-Next 80B-A3B, generated from the Architecture IR

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Fact sheet

Layers
48
Hidden size
2048
Attention heads
16 · KV 2
Vocab
151,936
Context
256K
Params
80B total / 3B active

Architecture Genome

One column per layer — top: attention, bottom: FFN/MoE.

attention (GQA/MLA) linear / recurrent attention MoE dense FFN

Evidence

Every visible number resolves to one of these claims. Inferred or unknown values are never shown as fact.

Claim Value Status Source
facts.num_hidden_layers 48 • reported hf_config · $.text_config.num_hidden_layers
facts.hidden_size 2048 • reported hf_config · $.text_config.hidden_size
facts.num_attention_heads 16 • reported hf_config · $.text_config.num_attention_heads
facts.num_key_value_heads 2 • reported hf_config · $.text_config.num_key_value_heads
facts.head_dim 256 • reported hf_config · $.text_config.head_dim
facts.vocab_size 151936 • reported hf_config · $.text_config.vocab_size
facts.context_tokens 262144 • reported hf_config · $.text_config.max_position_embeddings
facts.total_params 80000000000 • reported model_card · parameter count
facts.active_params 3000000000 = derived derived · activated experts + attention params
topology.attention.full_attention_interval 4 • reported hf_config · $.text_config.full_attention_interval
topology.attention_groups[0] "36 Gated DeltaNet layers (3 of every 4)" • reported hf_config · $.text_config.full_attention_interval
topology.attention_groups[1] "12 Gated Attention layers (1 of every 4)" • reported hf_config · $.text_config.full_attention_interval
topology.experts.routed_total 512 • reported hf_config · $.text_config.num_experts
topology.experts.active_routed 10 • reported hf_config · $.text_config.num_experts_per_tok

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