@magnitudedev/cli@0.2.8
Gerstep/HumanCompiler@magnitudedev/cli@0.2.8Oct 12, 2026by github-actions[bot]
Upgrading?
AI Summary
This patch release addresses critical memory issues in the routing system, optimizes model performance for Gemma 4, and fixes numerous hardware compatibility bugs affecting Mac M-series and AMD GPUs.
Key Highlights
- Fixed memory explosion risk where ZSTD requests could expand to gigabytes before rejection.
- Optimized Gemma 4 models using assistant models and streamed embedding tables to reduce memory usage.
- Resolved sampling errors and crashes on M1 Max/Ultra Macs and AMD GPUs on Windows.
- Added CPU fallback for computers with integrated GPUs that don't meet Magnitude's requirements.
New Features
- Gemma 4 models paired with assistant models for faster generation
- Embedding tables streamed to reduce memory usage for large models
- CPU fallback for computers with integrated GPUs that don't meet requirements
Full Release Notes
## 0.2.8 ### Patch Changes - [#182](https://github.com/magnitudedev/magnitude/pull/182) [`cee4780`](https://github.com/magnitudedev/magnitude/commit/cee47802fadac4632e7d27b453650d84644777f2) Thanks [@Fazmin](https://github.com/Fazmin)! - Stop decoding a zstd Codex request once it passes the 128 MB routing limit, so a few kilobytes of compressed input can no longer expand to gigabytes of memory before being rejected. - [`16021a5`](https://github.com/magnitudedev/magnitude/commit/16021a53aecb0efa39eed257a61b8aad0830e7bd) Thanks [@anerli](https://github.com/anerli)! - - Gemma 4 models are now paired with their assistant models in the catalog, so they use them as a draft head for faster generation. - Embedding tables are streamed instead of held whole in memory, so large models use less memory (Qwen3.8 27B about 600 MB less). - Faster Gemma decoding after the first-load optimization, and the first load stays within its time budget, so it no longer runs partly unoptimized after an upgrade. - [`157ab94`](https://github.com/magnitudedev/magnitude/commit/157ab941334644745dc91a006470768e04a07197) Thanks [@thrgreenwald](https://github.com/thrgreenwald)! - - Fix Qwen 3.5, 3.6 and 3.8 models failing with "sampling distribution is nonfinite" on M1 Max and M1 Ultra Macs. - Fix 8 GB NVIDIA and AMD GPUs unloading the model when several requests run together after a long prompt. Long prompts also go much further on these GPUs (MiniCPM5 2B now handles about 78K tokens instead of failing near 26K). - Model recommendations and "Fits" labels on NVIDIA and AMD GPUs now match what actually loads, because memory the GPU driver keeps for itself is no longer counted as available. - Fix requests occasionally failing with "target rows differ" when several run at once. - Fix every model load crashing on AMD GPUs on Windows. - Fix long prompts hanging on 8 GB AMD GPUs. - Computers whose integrated GPU doesn't meet Magnitude's requirements, such as Intel UHD 770, now run models on the CPU instead of failing to load.
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