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census: MicroLlamaForCausalLM is report-only — its model_type is llama, which is already mapped (engine#1922) #2014

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census: MicroLlamaForCausalLM is report-only — its model_type is llama, which is already mapped (engine#1922) #2014

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6 changes: 6 additions & 0 deletions registry/significant.json
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Original file line number Diff line number Diff line change
Expand Up @@ -172,6 +172,12 @@
"model_type": "deepseek_v4_flash_superexpert",
"family": "DeepSeek V4.1 Flash SuperExpert, published as remote code and with AW-SECD-compressed weights (8.5 GB, claimed 0.962 retention); MLA-style geometry (kv_lora_rank 512, q_lora_rank 1536, qk_rope_head_dim 64, v_head_dim 128, 32 heads / 16 KV, IM 4096). Not an alias of deepseek_v41: nothing at the pin decodes AW-SECD weights, so mapping it would name a backend that cannot read it",
"watch": "report"
},
"MicroLlamaForCausalLM": {
"model_type": "llama",
"family": "MicroLlama (Climb-Ai/Climb-1-Toki: vocab 1024, hidden 192, 6 heads, 6 layers, 256 positions)",
"watch": "report",
"mapped_ok": "engine#1922: model_type is `llama`, which the registry already maps (LlamaForCausalLM -> gguf llama, hrx+npu). Only the architectures[0] CLASS NAME is new, and the NPU path matches on model_type, not on the class name (tools/registry_build.py). Reported, not alerted: a renamed fine-tune of a supported family is not a coverage gap."
}
}
}
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