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Laya: pin the router's source and checkpoints, hash-verified, kept current - #18
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…ash-verified, keep them current third_party/laya = NandhaKishorM/laya main 1e28ac20. config/laya.json = convaiinnovations/laya revision aa8c91ca (root, multilingual/, typed-decisions/). scripts/fetch-laya.sh downloads that revision and checks every file (sha256 for LFS weights, git blob id otherwise). bump-laya.yml moves source and revision together daily. docs/laya.md; PORTING step 4. Verified on Strix Halo: 20 files, 2.3 GB, all hashes match. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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…in llama.cpp-vulkan 4a2c0656) (#149) * ZAYA1-VL-8B and the Zamba2-VL template fix; serve --mmproj decodes an image in one ubatch Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * Pin llama.cpp f30cc43 (ZAYA1-VL, #18) and llama.cpp-vulkan 4a2c0656 (Zamba2-VL template, #17) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> * registry: regenerate for llama.cpp f30cc43 and llama.cpp-vulkan 4a2c0656 (Zaya1VLForConditionalGeneration mapped) Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> --------- Co-authored-by: bong-water-water-bong <bong-water-water-bong@1bit.gg> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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… (Qwen3.8-27B pp +1.6..2.5%) gpu-kernels e85b7547 (squash of #10 on top of 8f26d1f4) adds, since eb97e1dc: - #18: one header for the kqt workgroup geometry (values unchanged). - #10: m128_w8_f2_sb dense prefill tiles for Q4_K/Q5_K/Q6_K and group_m raster groups for inputs above 32 MiB of f16 (output-identical). Measured on strixhalo gfx1151, performance mode, private build (llama.cpp 5dcf6623 + hrx-system 82804197 + the add-on, the hw-gate configuration), interleaved llama-bench A/B against the 8f26d1f4 add-on, 3 passes, medians: Qwen3.8-27B UD-Q4_K_XL pp512 597.4 -> 611.7 (+2.4%), pp2048 602.0 -> 616.2 (+2.4%), pp4096 589.8 -> 604.4 (+2.5%) at ub 512; pp4096 563.2 -> 572.3 (+1.6%) at ub 2048; tg64 12.2 -> 12.2. Qwen3-4B Q5_K_M pp2048 3122.5 -> 3215.8 (+3.0%) and pp4096 2094.2 -> 2137.8 (+2.1%) at ub 2048. Correctness: test-backend-ops MUL_MAT 359/359 (x3 default, x2 tile forced, raster forced); dense-prefill-bench vs CPU bad = 0 (T 256..4097); KLD vs base 0.000000 on 27B (c512 ub512, c4096 ub2048) and ZAYA1-8B (c512, all logits through the ragged q6_K lm_head). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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… (Qwen3.8-27B pp +1.6..2.5%) (#490) gpu-kernels e85b7547 (squash of #10 on top of 8f26d1f4) adds, since eb97e1dc: - #18: one header for the kqt workgroup geometry (values unchanged). - #10: m128_w8_f2_sb dense prefill tiles for Q4_K/Q5_K/Q6_K and group_m raster groups for inputs above 32 MiB of f16 (output-identical). Measured on strixhalo gfx1151, performance mode, private build (llama.cpp 5dcf6623 + hrx-system 82804197 + the add-on, the hw-gate configuration), interleaved llama-bench A/B against the 8f26d1f4 add-on, 3 passes, medians: Qwen3.8-27B UD-Q4_K_XL pp512 597.4 -> 611.7 (+2.4%), pp2048 602.0 -> 616.2 (+2.4%), pp4096 589.8 -> 604.4 (+2.5%) at ub 512; pp4096 563.2 -> 572.3 (+1.6%) at ub 2048; tg64 12.2 -> 12.2. Qwen3-4B Q5_K_M pp2048 3122.5 -> 3215.8 (+3.0%) and pp4096 2094.2 -> 2137.8 (+2.1%) at ub 2048. Correctness: test-backend-ops MUL_MAT 359/359 (x3 default, x2 tile forced, raster forced); dense-prefill-bench vs CPU bad = 0 (T 256..4097); KLD vs base 0.000000 on 27B (c512 ub512, c4096 ub2048) and ZAYA1-8B (c512, all logits through the ragged q6_K lm_head). Co-authored-by: bong-water-water-bong <bong-water-water-bong@1bit.gg> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
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Step 4 groundwork: pins Laya the same way as every other dependency.
third_party/laya=NandhaKishorM/layamain1e28ac20(Apache-2.0).config/laya.json= Hugging Faceconvaiinnovations/layarevisionaa8c91ca. It holds all three checkpoints: root,multilingual/andtyped-decisions/.scripts/fetch-laya.sh <dir>downloads exactly that revision and verifies every file: sha256 for the LFS weights, the git blob id otherwise.bump-laya.ymlruns daily and moves the source and the revision together.docs/laya.md, and PORTING step 4 marked pinned.Verified on Strix Halo: 20 files, 2.3 GB, all hashes match.
Next in step 4: port the C++ scorer, gate it against the Python reference on the pinned checkpoints, then route requests.
🤖 Generated with Claude Code