LFM2.5-8B-A1B

Headlines · 1

1. Oct 20
   PyTorch 2.15 MPS adds FP8 and faster LLM decoding on Macs

   Hugging Face's PyTorch team published a blog post on October 20, 2026 describing MPS improvements in PyTorch 2.15, including FP8 support with float8_e4m3fn storage and scaled matrix multiplication on the Mac backend. The team reports self-measured gains: MoE decoding 5–6.5× faster than 2.14, with Qwen3.6-35B-A3B rising from 9.4 to 61.3 tokens/s on an M3 Ultra, and Wan2.2 video VAE decode peak memory falling from 270 GiB to about 8 GiB. The post also says MPS now requires macOS 15 or later, PyTorch 2.15 requires Python 3.11 or later, and 2.16 will run attention entirely on Metal.

   Hugging Face · 🔥 0

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