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

Engram v1 A3.T6.6.2, 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. 10 models tracked.

Top models

#ModelScoreOverall rank
1Llama3.1-8b-Insturct (Engram Run: method=Engram;effort=source-unreported)70.6
2Llama3.1-8b-Insturct (Engram Run: method=EDGE;effort=source-unreported)68.2
3Llama3.1-8b-Insturct (Engram Run: method=SkillRL;effort=source-unreported)66.8
4Llama3.1-8b-Insturct (Engram Run: method=MAGE;effort=source-unreported)63.4
5Llama3.1-8b-Insturct (Engram Run: method=GRPO;effort=source-unreported)55.8
6Llama3.1-8b-Insturct (Engram Run: method=EvolveR;effort=source-unreported)40.6
7Llama3.1-8b-Insturct (Engram Run: method=Reflexion;effort=source-unreported)32.6
8Llama3.1-8b-Insturct (Engram Run: method=ReAct;effort=source-unreported)26.8
9Llama3.1-8b-Insturct (Engram Run: method=MemRL;effort=source-unreported)25.2
10Llama3.1-8b-Insturct (Engram Run: method=Mem0;effort=source-unreported)19.4

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