# Mellum 2 Base — evaluation results
# Self-reported by JetBrains. Numbers from Mellum 2 Technical Report (Table 5),
# measured on the pre-extension checkpoint Mellum2-12B-A2.5B-Base-Pretrain; the
# architecture is identical, only RoPE on global-attention layers was re-mapped
# via layer-selective YaRN to extend context from 8K to 128K.
# Only entries for benchmarks confirmed to be registered as HF Hub Benchmarks are listed.

- dataset:
    id: Idavidrein/gpqa
    task_id: diamond
  value: 31.31
  date: "2026-05-27"
  notes: "pre-training eval (pre-YaRN), no-tools"

- dataset:
    id: Idavidrein/gpqa
    task_id: main
  value: 35.04
  date: "2026-05-27"
  notes: "pre-training eval (pre-YaRN), no-tools"

- dataset:
    id: TIGER-Lab/MMLU-Pro
    task_id: mmlu_pro
  value: 59.31
  date: "2026-05-27"
  notes: "pre-training eval (pre-YaRN), no-tools, exact match"

- dataset:
    id: openai/gsm8k
    task_id: gsm8k
  value: 81.73
  date: "2026-05-27"
  notes: "pre-training eval (pre-YaRN), no-tools, exact match"
