Segment 15

The assistant fixed the `KeyError: qweight_type` by force-dequantizing tensors with `quant_config=None` (e.g., `weights_proj`, MoE gate) and skipping unknown parameter names in `load_weights`. After deploying these patches, the GLM-5 GGUF model loaded fully and the vLLM server began serving requests. However, the generated output was incoherent with flat log-prob distributions. The assistant systematically investigated possible causes: confirmed the GGUF dequantization kernel works on SM120, verified weight name mapping correctness, and confirmed FlashAttention availability. The investigation narrowed to the `kv_b_proj` weight loading: the weight is reassembled as a full `[28672, 512]` tensor but the `ColumnParallelLinear` expects a TP-sharded `[3584, 512]` parameter, yet no assertion error occurred, suggesting the parameter might be `UninitializedParameter` or the loader handles the mismatch differently. The assistant was preparing to further investigate this sharding discrepancy.

fix weight loading KeyError for quantized indexer weightsdebug incoherent model output after GGUF loadinginvestigate kv_b_proj tensor parallelism sharding mismatchpatch vLLM weight_utils and gguf_loader for force-dequantverify GGUF dequantization kernel on SM120

From Crash to Coherence: Debugging the GLM-5 GGUF Deployment on 8× Blackwell GPUs 3138 words

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