Engram - Llama3.1-8b-Insturct - FinQA: leaderboard

Engram v1 A3.T6.9, native task score (%), full reported method roster. Student backbone Llama3.1-8b-Insturct; parameter adaptation and trace-graph retrieval methods remain explicit configurations. Do not transfer adapted scores to the frozen base checkpoint. Source confidence intervals and exact row identities pinned. Held-out performance only, not resource efficiency or admission/retention rates.

Metric: Accuracy / task score (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 5 models tracked.

Top models

#ModelScoreOverall rank
1Llama3.1-8b-Insturct (Engram Run: task=FinQA;method=Engram;effort=source-unreported)64.6
2Llama3.1-8b-Insturct (Engram Run: task=FinQA;method=APOLLO-inspired adaptation;effort=source-unreported)63.4
3Llama3.1-8b-Insturct (Engram Run: task=FinQA;method=MAGE;effort=source-unreported)60.8
4Llama3.1-8b-Insturct (Engram Run: task=FinQA;method=FinQANet-inspired adaptation;effort=source-unreported)57.1
5Llama3.1-8b-Insturct (Engram Run: task=FinQA;method=CoT;effort=source-unreported)51.4

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