Upgrade llama.cpp to b9106#125
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b9103→b9106 is a Vulkan flash-attention internal refactor (no project API changes): - pipeline_flash_attn_f32_f16 collapsed from per-type array to single map - Mixed K/V quant types now supported on all Vulkan FA paths (scalar/cm1/cm2) - Per-type SPIR-V variants replaced by generic modules + FaTypeK/FaTypeV spec constants - new flash_attn_dequant.glsl with aliased SSBO views and uber dequantize4() switch - Minor CUDA argsort fix (#include <cuda/iterator> for CCCL >= 3.1) - convert_hf_to_gguf.py Mistral Medium 3.5 mmproj support No changes to common/, include/llama.h, server sources, or JNI layer. https://claude.ai/code/session_013S1x9KhvBL6Pr3xuYoTtKh
Review Summary✅ Version bump executed correctly — All three required files updated per CLAUDE.md upgrade procedure:
✅ Upstream changes properly documented — The three new rows in the breaking changes table (Vulkan flash attention refactor, CUDA argsort fix, Mistral Medium 3.5 mmproj support) accurately reflect that all changes are internal to GGML/CUDA backends or conversion tooling with no Java/JNI/server-API impact. ✅ No architectural changes — The b9103→b9106 delta touches only:
Ready to merge — This is a low-risk version bump with proper documentation. |
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Summary
Upgrade the pinned llama.cpp version from b9103 to b9106, incorporating improvements to Vulkan flash attention, CUDA argsort, and Mistral Medium 3.5 model conversion support.
Changes
Vulkan flash attention refactor: The
pipeline_flash_attn_f32_f16pipeline changed from a per-type array of maps to a single map. Mixed K/V quantization types (e.g., Q4_0 K + F16 V) are now supported across all Vulkan FA paths (scalar, cm1, cm2) instead of only coopmat2. Per-type SPIR-V variants were replaced with two generic modules (flash_attn_f32_f16andflash_attn_f32_f16_int8) that select K/V type at runtime via spec constants. A newflash_attn_dequant.glslshader provides aliased SSBO views and unified dequantization logic.CUDA argsort enhancement: Added
#include <cuda/iterator>to support CCCL ≥ 3.1 strided-iterator path.Mistral Medium 3.5 conversion support: Updated
convert_hf_to_gguf.pyto read"dim"key instead of"hidden_dim"forn_embd_text, and added resolution of negativeimg_break_tok_idplaceholders fromtekken.jsonortokenizer.json.Notes
All changes are internal backend improvements and conversion tool enhancements. No Java API changes are required.
https://claude.ai/code/session_013S1x9KhvBL6Pr3xuYoTtKh