#benchmarking

A high-engagement LocalLLaMA follow-up benchmark reports that Qwen3.5-35B-A3B runs best on the tested RTX 5080 setup with Q4_K_M quantization, KV q8_0, and --fit without explicit batch flags.

A high-engagement Reddit post summarized 2025 ML competition patterns across major platforms. The author reports tracking roughly 400 contests and first-place solution details for 73, highlighting shifts in tooling, model choices, and compute budgets.

NIST’s CAISI released draft guidance NIST AI 800-2 for automated language-model benchmark evaluations and opened comments through March 31, 2026. The draft focuses on objective setting, execution methodology, and analysis/reporting quality.