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quillan.cpp
quillan.cpp is a high-performance, lightweight, standalone C++17 inference engine engineered for the Quillan-Ronin sovereign multi-tier cognitive architecture. Inspired by the minimalistic philosophies of llama.cpp and bitnet.cpp, quillan.cpp operates with zero heavyweight runtime dependencies (no PyTorch, no LibTorch, no Python runtime), running
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Recent commits
From the GitHub sync, as writtenOct 29
1 commit
feat(kernel): add native Pascal sm_61 DP4A CUDA kernel and hardware ablation benchmarks (100 tok/s)
Oct 21
1 commit
feat: add Quillan.cpp native AVX2 engine files
Oct 2
1 commit
docs: add trending-local-llms verified inference engine badge and citation
Sep 12
5 commits
feat(api): export quillan_shared.dll and provide in-process ctypes Python bridge
feat(quillan.cpp): load 50k token vocabulary table from quillan_vocab.txt in CLI
feat(quillan.cpp): wire real embedding lookup, LM head projection, and vocab detokenization table
and 2 more
Merges and dependency updates stay hidden. All commits on GitHub
What shipped
0 in the last 30 daysNo entries tagged quillan.cpp in the last 30 days.