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Local AI workstation — discover, run, chat, benchmark, and generate images from open-weight models. DFlash/DDTree speculative decoding, five cache compression strategies (RotorQuant, TriAttention, TurboQuant, ChaosEngine), MLX + llama.cpp + vLLM backends.
Updated
Apr 25, 2026
Python
Cache compression using BASE-DELTA-IMMEDIATE process in verilog
Updated
Jul 16, 2022
Verilog
Research-quality implementation of KV cache compression strategies for efficient long-context LLM inference. Comprehensive evaluation of H2O, semantic clustering, and learned eviction policies achieving 50-87.5% compression with minimal quality degradation.
Updated
Dec 26, 2025
Jupyter Notebook
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