b10760

Pre-release

ggml-org/llama.cppb10760Sep 2, 2026by github-actions[bot]

AI Summary

Fixes critical bugs in the Qwen3-tts-0.6b model implementation, specifically addressing missing tensor handling and F16 overflow issues that caused numerical instability.

Key Highlights

  • Fixed Qwen3-tts-0.6b loading by making the proj_in projection optional.
  • Kept the code predictor FFN down projection in F32 to prevent overflow and NaN values.
  • Improved numerical stability for the 0.6B checkpoint variants.

Full Release Notes

<details open>

mtmd: Fix Qwen3-tts-0.6b (#28231)

* mtmd: load the qwen3-tts code predictor proj_in as optional

The talker and the code predictor share the hidden size on the 0.6B
checkpoints, so the reference builds no small_to_mtp_projection and
the conversion emits no tensor for it. The graph already falls back
to identity when the weight is missing, the loader now agrees.

* mtmd: keep the qwen3-tts code predictor ffn_down in F32

The code predictor carries a massive activation: its layer 2 FFN
intermediate peaks around 1.5e5, well past the 65504 ceiling of F16.
mul_mat casts its input to the weight type, so an F16 ffn_down turns
that peak into inf, the residual follows, and the next rms_norm yields
NaN. Reference forward in float32 gives 145109 against 145396 measured
in the graph.

</details>

**Website:**
- <https://llama.app>

**Attestations:**
- <https://github.com/ggml-org/llama.cpp/attestations/44677706>

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**openEuler:**
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