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It should include port when it's not default.
* refactor token advancement * exercise sub-expressions
…#20849) * server: allow router to report child instances sleep status * refactor * move sleeping to state * nits
…del (ggml-org#20847) * added support for internvl's dynamic high-resolution (Qianfan-OCR needed) * add min/max dynamic patch to gguf meta * clean up * simplified handling min/max dynamic patch * reuse llava_uhd logic for slice images * provide default values for older models * flake8 * prevent writing 0 value to gguf * remove duplicated resolution candidates with a better algorithm * fix indentation * format * add protection from divide by zero * change to 0 to be safe --------- Co-authored-by: Xuan Son Nguyen <son@huggingface.co>
…#20857) * fix(openvino): explicit memset in buffer_context allocation * minor --------- Co-authored-by: Dan Hoffman <dhoffman@cyket.net> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
ACL graph capture disallows host-to-device memcpy and device memory malloc/free on the captured stream. Pre-load the RoPE cache before capture so that: - Host-to-device copies and allocations run on the non-captured stream - Cache metadata is populated and memory pool is warmed up - During capture, only on-device computations are recorded; host-side and allocation branches are skipped
…nges system prompt (ggml-org#20859)
* Apply suggestions from code review Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> * metal:add conv_3d backend Rebased with master and resolved conflicts. * Resolved issues related to changes in variable names * kernel void kernel_upscale_bilinear_f32 was missing in my branch, added back, should pass all tests now --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
…#20823) * webui: fix --webui-config-file settings not applied on load * chore: update webui build output
* server: use httplib dynamic threads * change to n_threads_http + 1024
Tested to verify - the typo is just in the docs, not the actual flag.
* contrib: add "Requirements" section to PR template * typo [no ci] * use h2, add "Additional information" --------- Co-authored-by: Piotr Wilkin (ilintar) <piotr.wilkin@syndatis.com>
* opencl: add q6_K noshuffle kernels, initial q6_K gemv, some host code * opencl: add q6_K transpose * opencl: fix cvt kernel name * opencl: add call to q6_K gemv * opencl: fix q6_K scale transpose * opencl: fix loading for gemv q6_K, refactor * opencl: fix transpose_8_buf kernel assignment, refactor * opencl: refactor q6_K transpose * opencl: add gemm_noshuffle_q6_k_f32 * opencl: fix qh loading * opencl: refactor q6_K gemv host side, release bufs and imgs * opencl: refactor * opencl: fix q6_K dequant and scale selection * opencl: workaround compiler bug, fix dump_tensor * opencl: refactor q6_K convert kernels * opencl: unpack transformed q6_K in get_tensor * opencl: refactor, handle non-uniform workgroups * opencl: support non-vector subgroup bcast
…0915) * Add codeowners for scripts/snapdragon * Also add docs/backends/snapdragon
…20918) * hex-dma: make chained dma the default to handle newer models This also includes some new instrumentation that we can remove later. * hexagon: add uint32 dump helper * hexagon: use single-page VTCM allocation to avoid issues with large gather ops in ssm-conv ssm-conv uses HVX gather instruction and that instruction cannot handle cases where the base+offset spans page boundaries. * hexagon: update ssm-conv to make base-addr compute a bit easier to read * hex-dma: use 1d mode for reshaping, it supports sizes up to 24-bits (>16MB) * hex-bin: fix incorrect stride logic * hexagon: make sure repack buffs are dumped for verbose > 2 * hex-bin: consistently use dma_queue_push even for dummy dst transactions * hex-dma: start using 2d-wide mode on v75 and up The removes the need to deal with the 16-bit limitaion for the strides. * hex-bin: cleanup kernel selection logic * hex-bin: cleanup binary op core and fix transposed tensor handling * snapdragon: update run-bench to use larger ubatch and fa-on
…on and fix gpt-oss (ggml-org#20912)
* llama-fit: fix regex pattern for gate_up tensors * Apply suggestions from code review Co-authored-by: Johannes Gäßler <johannesg@5d6.de> --------- Co-authored-by: Johannes Gäßler <johannesg@5d6.de>
* common : add standard Hugging Face cache support - Use HF API to find all files - Migrate all manifests to hugging face cache at startup Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Check with the quant tag Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Cleanup Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Improve error handling and report API errors Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Restore common_cached_model_info and align mmproj filtering Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Prefer main when getting cached ref Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Use cached files when HF API fails Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Use final_path.. Signed-off-by: Adrien Gallouët <angt@huggingface.co> * Check all inputs Signed-off-by: Adrien Gallouët <angt@huggingface.co> --------- Signed-off-by: Adrien Gallouët <angt@huggingface.co>
Signed-off-by: Aaron Teo <aaron.teo1@ibm.com>
* naive vectorized version * add vectorized flash attention * update vec version * remove unused path and shader * remove unused helper functions * add comments * remove pad path * ggml-webgpu: fix flash-attn vec nwg=1 path and tighten vec specialization * change back to vec4 * enable multi split * enable vec path when: - Q->ne[1] < 20 - Q->ne[0] % 32 == 0 - V->ne[0] % 4 == 0 - K->type == f16 * update flast_attn_vec_split.wgsl to reduce redundant workgroup barrier usage and use select * enable vec path for q4 and q8 * flash-attn vec nwg=1 fast path (skip tmp/reduce staging) * use packed f16 K loads in flash-attn vec split * use packed f16 K loads in flash-attn vec split on host side * tune flash-attn vec f16 VEC_NE by head dim * cleanup * cleanup * keep host side clean * cleanup host side * change back to original host wait/submit behavior * formatting * reverted param-buffer pool r ecfactor * add helper functions * ggml-webgpu: move flash-attn vec pipeline caching back into shader lib * ggml-webgpu: remove duplicate functions * ggml-webgpu: reserve flash-attn vec scratch in dst buffer allocation * ggml-webgpu: revert unrelated change * ggml-webgpu: revert deleted comment * disable uniformity check * remove unnecessary change * Update ggml/src/ggml-webgpu/wgsl-shaders/flash_attn_vec_split.wgsl * Update ggml/src/ggml-webgpu/ggml-webgpu.cpp --------- Co-authored-by: Reese Levine <reeselevine1@gmail.com>
) * Add unit test coverage for llama_tensor_get_type * Fix merge conflicts, add more schemas * clang formatter changes * Trailing whitespace * Update name * Start rebase * Updating files with upstream changes prior to rebase * Changes needed from rebase * Update attn_qkv schema, change throw behaviour * Fix merge conflicts * White space * Update with latest changes to state counters * Revert accidental personal CLAUDE.md changes * Change quotation mark * Reuse metadata.name since we have it * Move test-only stuff out of llama-quant.cpp * Hide the regex functionality back in llama-quant.cpp, use a unique pointer to a new struct 'compiled_tensor_type_patterns' which contains the patterns * cont : inital deslop guidelines * Cleanup based on review comments * Continue cleanup * Small cleanup * Manually set proper ordering of tensors, mostly applies to gemma * Formatting * Update tests/test-quant-type-selection.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * Fix merge conflicts --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
Bump ROCm version on Linux from 7.2 to 7.2.1 Add gfx1102 target Delete LLVM workaround since ROCm 7.2.1 has fix for ROCm 7.2 perf regression ROCm/rocm-systems#2865 --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com>
* ci : add AMD CPU label to PR labeler Add automatic labeling for PRs that modify AMD CPU (ZenDNN) backend files * ci : rename label AMD CPU to AMD ZenDNN in labeler config Co-authored-by: Aaron Teo <taronaeo@gmail.com> --------- Co-authored-by: Aaron Teo <taronaeo@gmail.com>
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