面向中文输入法的语言模型:语料、n-gram 统计、字级神经模型,以及判断它们好坏的评测集
A concise grammar of interactive graphics, built on Vega.
Python library for creating PEG parsers
A single file C++ header-only PEG (Parsing Expression Grammars) library
Qwen3.8-Flash-Next (NVFP4) on DGX Spark in vLLM: one Spark 43.9 tok/s with our disk-backed n-gram table patch, staged gather and reduced-vocab MTP draft; TP2 SPEED 53.7; TP4 CONTEXT 9M KV pool. Launchers, patch, 40-prompt harness, KV ledger, credits. SGLang TP2 day-0 lane kept.
A visualization grammar.
:crescent_moon: A language that compiles to Lua
Parsing Expression Grammar Template Library
Run Qwen3.8-Flash-Next (180B) on a single DGX Spark by keeping its 51B n-gram embedding table on NVMe
ENGRAFT: write facts into an LLM's n-gram (Engram) memory table as a removable overlay: 100 facts in a 9 MB file, no weights touched, verified on llama.cpp GGUF (Qwen3.8-Flash-Next).