78 models · 6 datasets · 4 collections · 21,796 total downloads
36 pruned-LLM artifacts (3 models x 3 methods x 4 sparsities) for AIIoT 2026 bias-amplification paper. Research only - not for deployment.
MLX artifacts for the IEEE Cloud Summit 2026 paper. 3 LLMs × 5 precisions (BF16/Q8/Q6/Q4/Q3, gs=64).
NL→MLIR benchmarks (465 instances; arith/func/memref, linalg, StableHLO). Code: github.com/plawanrath/slm-to-mlir-constrained-emitter
Byte-level telemetry students (float, 4/3/2-bit QAT) and ModernBERT toxicity classifiers, compiled into binaries as constants.