Engram - Llama3.1-8b-Insturct - HotpotQA EM: leaderboard

Engram v1 A3.T6.7.2, native task performance (%), full reported method roster. Student backbone Llama3.1-8b-Insturct; trained adapters and memory frameworks remain native run configurations, not released-model aliases. Full table and confidence intervals retained; no resource, conditional verification or retention rate admitted.

Metric: Accuracy / task score (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 8 models tracked.

Top models

#ModelScoreOverall rank
1Llama3.1-8b-Insturct (Engram Run: method=Engram;effort=source-unreported)49.2
2Llama3.1-8b-Insturct (Engram Run: method=EmbQA;effort=source-unreported)45.1
3Llama3.1-8b-Insturct (Engram Run: method=RoleRAG;effort=source-unreported)44.3
4Llama3.1-8b-Insturct (Engram Run: method=EvolveR;effort=source-unreported)43.2
5Llama3.1-8b-Insturct (Engram Run: method=SuRe;effort=source-unreported)40.9
6Llama3.1-8b-Insturct (Engram Run: method=RPG;effort=source-unreported)39.7
7Llama3.1-8b-Insturct (Engram Run: method=ReAct;effort=source-unreported)35.6
8Llama3.1-8b-Insturct (Engram Run: method=CoT;effort=source-unreported)33.8

Interactive version: theaggregate.ai/benchmark?slug=engram-llama3-1-8b-insturct-hotpotqa-em · How It Works · Data refreshed daily, snapshot 2026-11-12.