- Add test_ruler.py from tzj/vs_offload branch with 13 RULER tasks - Add comprehensive documentation for RULER benchmark results - Update CLAUDE.md with new documentation index entry - Add architecture, debugging, optimization, and known issues guides - Test 32K context with CPU offload: 92.3% accuracy across all tasks - Parallel execution on 4 GPUs with detailed performance metrics Benchmark results: - 13 RULER tasks total (niah_single, multikey, multiquery, multivalue, qa, cwe, fwe, vt) - 26 samples tested with 92.3% overall accuracy - CPU offload stable at 32K context length - Parallel GPU execution achieving 4x speedup Key findings: - Single needle tasks: 100% accuracy - Multi-value and recall tasks: 100% accuracy - Multi-query tasks: 50% accuracy (most challenging) - QA tasks: 100% accuracy - Total execution time: ~220 seconds (parallel)
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