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tdakhran
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Oct 27, 2025
ykhrustalev
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Oct 27, 2025
ngxson
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I'm not deeply familiar with the chat parsing code, but this looks good overall
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| #include <algorithm> | ||
| #include <cstdio> | ||
| #include <cctype> | ||
| #include <exception> | ||
| #include <functional> |
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It looks like some of the added include are unused, could you confirm?
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- algorithm for std::search
- cctype for std::tolower
- functional for std::invoke
wqerrewetw
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Oct 28, 2025
* model : add LightOnOCR-1B model (ggml-org#16764) * model : add LightOnOCR-1B model * add test * HIP: fix AMDGPU_TARGETS, update documentation (ggml-org#16803) * ggml : fix interpolate with align-corners and ne=1 (ggml-org#16700) * ggml : fix interpolate with align-corners and ne=1 * avoid division by zero if one of the spatial dimensions is 1 * cpu, cuda, opencl returned correct result anyway due to clamp * vulkan didn't clamp for align-corners so results were broken * fix clang warning * llama : disable pipeline parallelism if compute buffer allocation fails (ggml-org#16748) * mtmd : fix idefics3 preprocessing (ggml-org#16806) * mtmd : fix idefics3 preprocessing * disable granite test * fix test for granite * chat: Add LFM2 tool handling (ggml-org#16763) * Add LFM2 tool handling * fmt * Apply suggestion from @ykhrustalev * sycl: add SSM_CONV operation support (ggml-org#16800) * feat: Add SYCL backend support for SSM_CONV operator * Implement State Space Model Convolution 1D for SYCL backend * Add optimized GPU kernel with parallel work distribution * Support various tensor dimensions and batch sizes * Full integration with existing SYCL infrastructure * All tests pass with CPU backend equivalence verification * feat: Implement SYCL backend support for SSM_CONV operation - Add ggml-sycl/ssm_conv.cpp and ssm_conv.hpp - Implement SYCL kernel for state space model convolution - Ensure numerical correctness matches CPU implementation exactly - Add proper type checking for F32 tensors in backend support - All test-backend-ops SSM_CONV tests pass (14490/14490) * Perfect SSM_CONV SYCL implementation - 100% CPU parity ✅ Flawless numerical accuracy - matches CPU bit-for-bit ✅ Optimal SYCL kernel design - efficient parallel execution ✅ Complete tensor layout compatibility - handles all strides correctly ✅ Robust error handling - comprehensive assertions and validation ✅ All official tests pass - 14,490/14,490 backend operations verified ✅ Production-ready code - clean, documented, maintainable Implements state-space model 1D convolution with sliding window algorithm. Eliminates blocking queue.wait() for better async performance. * Clean SSM_CONV code - remove all comments for production Removed all inline comments and documentation from the implementation. Clean, minimal code ready for production merge. * fix: Final formatting corrections for CI compliance - Remove all trailing whitespace from SSM_CONV files - Add proper final newlines to source files - Fix C++17 compliance issues - Ready for llama.cpp CI validation * sycl: fix trailing whitespace and minor safety casts in ssm_conv * fix: Clean up duplicated content in ssm_conv.hpp header file --------- Co-authored-by: tamarPal <tamarPal@example.com> * CUDA: add unused vars to mmvf and mmvq (ggml-org#16807) * CANN: Improve device ID handling and aclnnArange checks (ggml-org#16752) * cann: improve device ID handling and aclnnArange checks - Stop relying on CANN's internal device ID retrieval; use a global variable instead. - Enforce stricter dimension validation in aclnnArange for better compatibility across CANN versions. * cann: use thread local var * grammar : support array references in json schema (ggml-org#16792) * grammar : support array references in json schema * Update json-schema-to-grammar.cpp Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * grammar : improve regex when naming ref derived rules * grammar : replace non-conformant definitions array with anyOf test case --------- Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> * llama: consistent ctx <-> buf order for KV cache (ggml-org#16746) * embedding: add raw option for --embd-output-format (ggml-org#16541) * Add --embd-output-format raw for plain numeric embedding output This new option outputs embeddings as raw space-separated floats, without JSON or 'embedding N:' prefixes. Useful for downstream vector pipelines and scripting. * Move raw output handling into format handling section * Move raw output handling into else-if block with other format handlers * Use LOG instead of printf for raw embedding output * docs: document 'raw' embedding output format in arg.cpp and README --------- Co-authored-by: Xuan-Son Nguyen <son@huggingface.co> Co-authored-by: Johannes Gäßler <johannesg@5d6.de> Co-authored-by: Acly <aclysia@gmail.com> Co-authored-by: Diego Devesa <slarengh@gmail.com> Co-authored-by: Yuri Khrustalev <ykhrustalev@users.noreply.github.com> Co-authored-by: tamarPal <tamarp3385@gmail.com> Co-authored-by: tamarPal <tamarPal@example.com> Co-authored-by: Aman Gupta <amangupta052@gmail.com> Co-authored-by: Chenguang Li <757486878@qq.com> Co-authored-by: Aldehir Rojas <hello@alde.dev> Co-authored-by: Sigbjørn Skjæret <sigbjorn.skjaeret@scala.com> Co-authored-by: Sam Malayek <12037535+SamMalayek@users.noreply.github.com>
Anico2
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* Add LFM2 tool handling * fmt * Apply suggestion from @ykhrustalev
blime4
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Feb 5, 2026
* Add LFM2 tool handling * fmt * Apply suggestion from @ykhrustalev
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LFM2 model has specific tool calling handling, it only produces python like code as of Oct 2025.
The LFM2 requires proper system prompt formatting to trigger the tool calling functionality.
Changes:
force json schema.in the system prompt. By defaults, the output for tools invocation is not forced.Attaching testing scripts in case anyone wants to try it out.
Upstream LFM2 models chat template will be updated next week.
Test: