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Search: mlx-dflash
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Showing 6 results from 6
bstnxbt/dflash-mlx
GitHub Python Apache License 2.0Lossless DFlash speculative decoding for MLX on Apple Silicon
External source
GitHub
Aryagm/dflash-mlx
GitHub Python MIT LicenseExact speculative decoding on Apple Silicon, powered by MLX.
External source
GitHub
humanrouter/ddtree-mlx
GitHub PythonTree-based speculative decoding for Apple Silicon (MLX). ~10-15% faster than DFlash on code, ~1.5x over autoregressive. First MLX port with custom Metal kernels for hybrid model support.
External source
GitHub
0xClandestine/mirror-sd
GitHub PythonDFlash block-diffusion speculative decoding running on Apple Silicon via MLX, with an ANE execution path that explores heterogeneous accelerator dispatch.
External source
GitHub
cryptopoly/ChaosEngineAI
GitHub Python Apache License 2.0Local AI workstation — discover, run, chat, benchmark, and generate images from open-weight models. DFlash/DDTree speculative decoding, TurboQuant & TriAttention cache compression strategies, MLX + llama.cpp + vLLM + MTPLX backends.
External source
GitHub
eauchs/mlx-dflash
GitHub Python3.34× faster inference on Apple Silicon — native MLX port of DFlash speculative decoding
External source
GitHub