Highlights

• Support nvfp4 and mxfp8 quantized ops on Metal
• Support nvfp4 and mxfp8 quantized-quantized matrix-matrix multiplication on CUDA

What's Changed

• Bump the patch version by @angeloskath in https://github.com/ml-explore/mlx/pull/2922
• Faster copy for col contig to row contig by @awni in https://github.com/ml-explore/mlx/pull/2917
• Fix cuda release by @awni in https://github.com/ml-explore/mlx/pull/2925
• Metal logging by @CC-Yeh in https://github.com/ml-explore/mlx/pull/2904
• fix cuda release part 2 by @awni in https://github.com/ml-explore/mlx/pull/2926
• new[CI]: add linux sanitizer tests by @incertum in https://github.com/ml-explore/mlx/pull/2860
• patch bump by @awni in https://github.com/ml-explore/mlx/pull/2927
• Fix CUDA pypi release by @awni in https://github.com/ml-explore/mlx/pull/2929
• Move allocate_workspace to cuda/utils.h by @zcbenz in https://github.com/ml-explore/mlx/pull/2923
• Allow dry run for PyPI release workflow by @zcbenz in https://github.com/ml-explore/mlx/pull/2928
• Set rpath with cmake for CUDA build by @zcbenz in https://github.com/ml-explore/mlx/pull/2932
• Fix nightly build by @zcbenz in https://github.com/ml-explore/mlx/pull/2933
• Set install rpath of python bindings with cmake by @zcbenz in https://github.com/ml-explore/mlx/pull/2934
• Fix pid in local launch by @angeloskath in https://github.com/ml-explore/mlx/pull/2936
• Make CUDA CI run faster by @zcbenz in https://github.com/ml-explore/mlx/pull/2939
• refactor: use perf_counter for accurate benchmarking by @Satyam12singh in https://github.com/ml-explore/mlx/pull/2940
• Fix for non row-contig scales by @awni in https://github.com/ml-explore/mlx/pull/2941
• Fix stubgen by @zcbenz in https://github.com/ml-explore/mlx/pull/2942
• ci: add macOS 26 target by @madrob in https://github.com/ml-explore/mlx/pull/2937
• Fix float64 size in data_types.rst by @pdevine in https://github.com/ml-explore/mlx/pull/2948
• Fixes in mlx.distributed_config by @angeloskath in https://github.com/ml-explore/mlx/pull/2947
• Metal/CPU nvfp4 and mxfp8 by @awni in https://github.com/ml-explore/mlx/pull/2946
• [CUDA] Implement gather_mm_rhs by @zcbenz in https://github.com/ml-explore/mlx/pull/2902
• Fetch nanobind with cmake by @zcbenz in https://github.com/ml-explore/mlx/pull/2949
• refactor: use time.perf_counter for consistent and accurate benchmarking by @Satyam12singh in https://github.com/ml-explore/mlx/pull/2943
• BUG FIX - Addition of missing parameter in random::uniform by @hwiesmann in https://github.com/ml-explore/mlx/pull/2963
• Fix doc issues in mlx.nn.init.he_normal and mlx.nn.hard_tanh by @Redempt1onzzZZ in https://github.com/ml-explore/mlx/pull/2968
• fix numpy dtype bug by @awni in https://github.com/ml-explore/mlx/pull/2960
• QQ linear by @nastya236 in https://github.com/ml-explore/mlx/pull/2931
• fix array allocator with user buffer and deleter by @andresy in https://github.com/ml-explore/mlx/pull/2971
• Swizzle scales by @nastya236 in https://github.com/ml-explore/mlx/pull/2979
• Fix grid_dim_x calculations by @CC-Yeh in https://github.com/ml-explore/mlx/pull/2980
• Add asarray to array_namespace by @Anri-Lombard in https://github.com/ml-explore/mlx/pull/2966
• fix doc by @CC-Yeh in https://github.com/ml-explore/mlx/pull/2988
• replace MLX_IBV_COORDINATOR with MLX_JACCL_COORDINATOR by @Evanev7 in https://github.com/ml-explore/mlx/pull/2986
• Fix RandomBits::is_equivalent to include width by @MillaFleurs in https://github.com/ml-explore/mlx/pull/2978
• Don't try to use NAX at run-time if kernels aren't there by @awni in https://github.com/ml-explore/mlx/pull/2982
• Expose to/from fp8 in Python and don't auto-convert fp8 when loading from safetensors by @awni in https://github.com/ml-explore/mlx/pull/2985
• Allow some non 2D inputs in qqmm by @awni in https://github.com/ml-explore/mlx/pull/2981

New Contributors

• @pdevine made their first contribution in https://github.com/ml-explore/mlx/pull/2948
• @hwiesmann made their first contribution in https://github.com/ml-explore/mlx/pull/2963
• @Anri-Lombard made their first contribution in https://github.com/ml-explore/mlx/pull/2966
• @Evanev7 made their first contribution in https://github.com/ml-explore/mlx/pull/2986
• @MillaFleurs made their first contribution in https://github.com/ml-explore/mlx/pull/2978

Full Changelog: https://github.com/ml-explore/mlx/compare/v0.30.1...v0.30.3