A 0.6B open-source decision model called AgentJev achieves 79.25% accuracy on Typed Decisions, outperforming a larger baseline. The model processes 64 candidates in a single forward pass with 92.4% computational reduction and returns decisions in 68ms without generating tokens or requiring JSON parsing.

Name: A 0.6B open-source decision model called AgentJev achieves 79.25% accuracy on Typed Decisions, outperforming a larger baseline. The model processes 64 candidates in a single forward pass with 92.4% computational reduction and returns decisions in 68ms without generating tokens or requiring JSON parsing.
Uploaded: 2026-09-22T22:00:45.196Z
Channel: NFT_Chen
Description: A 0.6B open-source decision model called AgentJev achieves 79.25% accuracy on Typed Decisions, outperforming a larger baseline. The model processes 64 candidates in a single forward pass with 92.4% computational reduction and returns decisions in 68ms without generating tokens or requiring JSON parsing.

NFT_Chenagent-decisions72.2K views · 749 likes

Discovered 2026-09-22, refreshed 2026-09-23. Descriptions and stats are pulled from the project's own X post and refreshed automatically — they aren't independently verified by JevTracks beyond the initial eligibility check.