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yunggilja
32ac81dbc6
hardware.py detects Apple Silicon locally and over SSH, reporting backend=metal, the chip name, and a RAM-scaled fraction of unified memory as the usable GPU budget. fit.py gains an M1-M4 memory-bandwidth table for realistic tok/s and drops vLLM-only formats (AWQ/GPTQ/FP8) that can't be served on Metal. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>