@magnitudedev/cli@0.2.5
sadmann7/tablecn@magnitudedev/cli@0.2.5Oct 3, 2026by github-actions[bot]
Upgrading?
AI Summary
This release significantly boosts performance on Mac M5 and GB10 hardware, optimizes MoE model generation, and fixes compatibility issues for models with high query head counts on older Macs.
Key Highlights
- Speed up generation for MoE models by drafting three tokens ahead.
- Massive speedup on M5 Macs (2x) for prompt processing via GPU tensor operations.
- Fixed models with 16+ query heads failing to load on M1 and M2 Macs.
- Fixed Vulkan shader compilation errors for DFlash2 and Nemotron models.
New Features
- Optimized MoE model generation speed
- GPU tensor operations for M5 Macs
- Fixed 16+ query head compatibility on M1/M2
Full Release Notes
## 0.2.5 ### Patch Changes - [`32e095e`](https://github.com/magnitudedev/magnitude/commit/32e095e6561b2e58daaaf1438604a21d36ee827f) Thanks [@anerli](https://github.com/anerli)! - - Speed up generation for mixture-of-experts models with multi-token prediction by drafting three tokens ahead instead of one: Qwen3.6-35B-A3B now generates 106–138 tok/s on a GB10 (previously 97–105) and 109–138 tok/s on an M4 Pro (previously 103–111). - Speed up generation at a 16K context by about 8% on Macs (67.0 → 72.4 tok/s) and 11% on NVIDIA GPUs (66.3 → 73.4 tok/s), with the same output, by choosing each token while reading less of the output layer and doing more of each step in fewer GPU launches. - Speed up multi-token prediction on NVIDIA GPUs by loading each expert's weights once per step when several drafted tokens choose it, cutting verification time by up to 11%. - [`32e095e`](https://github.com/magnitudedev/magnitude/commit/32e095e6561b2e58daaaf1438604a21d36ee827f) Thanks [@anerli](https://github.com/anerli)! - - Speed up prompt processing on M5 and later Macs about 2x by running matrix multiplies and attention on the GPU's tensor operations: Qwen3.5-4B at a 64K context now processes prompts at 649 tok/s (previously 308), cutting time to first token from 213 to 101 seconds, with identical output. Other Macs are unchanged. - [`7aea836`](https://github.com/magnitudedev/magnitude/commit/7aea83653a5acf2035d6d3229efd5700ff684e8d) Thanks [@thrgreenwald](https://github.com/thrgreenwald)! - - Fix models failing to load on M1 and M2 Macs with "requests N threads per threadgroup; the pipeline allows M". Metal kernels are now built to accept the thread count they launch with, which fixes Qwen3.8 27B on M1 Max and similar errors in other kernels. - Fix models with 16 or more query heads per key (Gemma 4 12B, Muse Glimmer 30B, Nemotron 3.5 Lightning, Qwen3.5 122B, Nemotron 3 Super) failing on M1 and M2 Macs. Prefill attention now splits a key's query heads into groups, so it fits every Mac's thread limit, with no change in speed or output elsewhere. - [`cffe46e`](https://github.com/magnitudedev/magnitude/commit/cffe46e77af5f45ce99565f096d545443dbbd3d0) Thanks [@thrgreenwald](https://github.com/thrgreenwald)! - - Fix removing a model that is running or loading failing with a misleading error. Removing it now stops the model first, and the confirmation says so. - [`a3e5422`](https://github.com/magnitudedev/magnitude/commit/a3e542241b075567894881290aad2a5ed2f94aaf) Thanks [@anerli](https://github.com/anerli)! - - Fix models with DFlash2 speculative decoding (Qwen3.8 27B) and Nemotron models failing to load on Vulkan GPUs with a shader compilation error. Every GPU kernel is now compiled for Vulkan, CUDA and Metal before each release, including every kernel each catalog model loads.
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