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Search: ddtree-mlx
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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
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