Files
ali-trace-tools/trace_model_meta/Qwen/Qwen3-plus/config.json
Gahow Wang 7cb4cac56d feat(model-meta): register qwen-plus family with its own tokenizer and template
request_model values like qwen-plus matched no registered family, so
resolve_model_family fell through to its "glm5" default and the formatter
rendered canonical_prompt with the GLM-5 chat template and tokenized release
blocks with the GLM-5 tokenizer. The fallback is silent, so nothing surfaced it.

Register the family, ship Qwen3-plus tokenizer/chat_template (the template was
embedded in tokenizer_config.json upstream and is extracted here), and add a
QwenPlusTraceAdapter ahead of the GLM catch-all in get_raw_adapter -- the
registry entry alone is not enough, since the adapter is what picks the
template. The shared message/tool normalization is factored out of
build_glm5_canonical_prompt so both builders use one copy.

Measured against provider-reported usage.input_tokens on a 400-request sample,
median tokenized/reported ratio goes 0.9449 -> 1.0000, and unique release block
count on a 2190-request sample moves 5886 -> 5701.

Note deepseek-v4-flash is still unregistered and still resolves to glm5.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-11 06:41:50 +00:00

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JSON

{
"architectures": [
"Qwen3MoeForCausalLM"
],
"attention_bias": false,
"attention_dropout": 0.0,
"attn_output_gate": false,
"bos_token_id": 151643,
"decoder_sparse_step": 1,
"eos_token_id": 151645,
"head_dim": 128,
"hidden_act": "silu",
"hidden_size": 4096,
"initializer_range": 0.02,
"intermediate_size": 12288,
"max_position_embeddings": 35840,
"max_window_layers": 60,
"mlp_only_layers": [],
"model_type": "qwen3_moe",
"moe_intermediate_size": 1536,
"norm_topk_prob": true,
"num_attention_heads": 64,
"num_experts": 128,
"num_experts_per_tok": 8,
"num_hidden_layers": 60,
"num_key_value_heads": 4,
"output_router_logits": false,
"partial_rotary_factor": 1.0,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 10000000,
"router_aux_loss_coef": 0.001,
"shared_expert_intermediate_size": 0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.52.3",
"use_cache": true,
"use_gemma_rms_norm": false,
"use_sliding_window": false,
"vocab_size": 151936
}