RLTasks by ulam.ai

Models / Reported model

Reported model / MODEL EVIDENCE

~ ARMT (137M) fine-tune

1 benchmarks · 72 observations · 1 sources

Scores at a glance

1 benchmarks · large dot: ~ ARMT (137M) fine-tune; small dots: closest models where reported

BABILong ↗99.32%

~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 0k context · historical v0 leaderboard ↗

71 more reported results

98.1% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.1% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

97.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

96.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

93.4% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

95.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

97.6% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.2% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

95.3% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

76.6% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1–QA5 average · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.3% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.6% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

89% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA1 · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

96.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.8% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

84% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA2 · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

97% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

85.2% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

90.5% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

92% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

92% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

92% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

91% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

90% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

86% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

80% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

72% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

37% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA3 · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.4% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.8% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

100% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

92% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA4 · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.6% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 0k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.5% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 1k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

99.1% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 2k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.1% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 4k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.2% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 8k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98.1% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 16k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

98% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 32k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

97.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 64k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

96.9% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 128k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

95.3% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 512k context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

93.4% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 1M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

76.6% · ~ ARMT (137M) fine-tune · BABILong · BABILong v0 · QA5 · 10M context · historical v0 leaderboard · BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

~ Mamba (130M) fine-tune →

3.4 percentile-point gap

1 of 1 shared benchmark comparisons

~ RMT (137M) fine-tune →

3.4 percentile-point gap

1 of 1 shared benchmark comparisons

GPT-4-0125-preview →OpenAI

6.9 percentile-point gap

1 of 1 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Filter comparisons to this model →

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack — official v0 leaderboard — published result table ↗
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom et al. · 2024
All 7 authors
Kuratov, Yuri, Bulatov, Aydar, Anokhin, Petr, Rodkin, Ivan, Sorokin, Dmitry, Sorokin, Artyom, Burtsev, Mikhail

Names used in source tables

~ ARMT (137M) fine-tune