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TurboFieldfare 0.4 -- Mac App and Local Server Reliability source code.zip (1.7 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-07-29 | 1.4 kB | |
| TurboFieldfare 0.3 -- Apple10 Long-Context Prefill source code.tar.gz | 2026-07-29 | 1.4 MB | |
| TurboFieldfare 0.3 -- Apple10 Long-Context Prefill source code.zip | 2026-07-29 | 1.7 MB | |
| Totals: 3 Items | 3.1 MB | 7 | |
TurboFieldfare 0.3 speeds up long-context prefill on Apple10 GPUs and fixes the Mac app's download ETA countdown.
Apple10 long-context prefill
- Full-attention layers now process all eight GQA query heads together with TensorOps, reusing K/V reads.
- The new path is selected automatically on Apple10 for the pinned full-attention shape. Earlier GPUs keep causal-tiled attention.
- Isolated full attention measured 11.24x faster at 16K and 11.63x faster at 64K.
- On the same 32K input, full-runtime prefill fell from 491.09 to 204.29 seconds, a 2.404x speedup without increased memory use.
- Direct attention checks passed through 64K, and MLX-relative endpoints matched top-1 at 8K, 16K, 32K, and 64K.
Mac app
- The visible download ETA now updates after each estimation interval, so a steady download advances the minute countdown.
Validation
- The release build, serial package tests, and Markdown link check passed on the release commit.
- Thirteen Apple10 tile-boundary cases passed against the CPU reference and were byte-stable across repeated runs on an M5 Pro.
This is a source-only release. It does not include model weights or application binaries.
Full changelog: https://github.com/drumih/turbo-fieldfare/compare/0.2.1...0.3
