TensorFold engine 1.2.0 is out 🙌
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TensorFold engine 1.2.0 is out 🙌 Qwen3.8-27B with MLX 4-bit weights and DFlash2, compared with 1.1.9: • M3 Ultra: 14.4% faster decoding with one stream, 44.2% higher combined throughput with 16. • M5 Ultra: 5.8% faster decoding with one stream, 25.2% higher combined throughput with 16. New support includes: • MiniMax-M3.1-Flash on Metal. • NVFP4 Qwen3.6-35B-A3B and dense EXL3 Qwen3.8-27B on CUDA. • Gemma 4 E4B on Intel Arc Pro B70. The measured speedups kept matching tokens. Qwen-VL image replies can differ from 1.1.9 because image preparation now matches the checkpoint's own processor. Hu
Posted by Ash Hart (9.9k followers) 1 h ago · 62 likes · 3k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: Agents in flight.
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