The llama.cpp project released version b10067, which includes a fix for the `llama-quantize` tool to correctly handle DeepSeek-V4 models. The update prevents the quantizer from attempting to convert the `ffn_gate_tid2eid` tensor, an i32 token-to-expert index table, into a float type.

  • Excludes the `ffn_gate_tid2eid` routing table from quantization to avoid conversion failures.
  • Adds the tensor to the name-based exclusion list alongside `ffn_gate_inp.weight`.
  • Resolves issue #25754 where quantization previously failed on DeepSeek-V4 models.

This change allows users to successfully quantize DeepSeek-V4 models without encountering errors related to integer-to-float type conversion.