jbrashear/Aegis-14B
Text Generation • 15B • Updated • 14 • 2
Jason Brashear PRO
jbrashear
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posted an update 5 days ago
Jebadiah 27B v2.1 with the T1e inference recipe scores Full 64.4 on Jev Decision Index 0.4.1: rank 25 overall and tie rank 6, above the Jev 1.14 reference at 60.24. Board data: October 22, 2026.
The smaller 9B v2.1 with T1e scores Full 50.9, rank 80 overall and tie rank 18, with a board median latency of 125.1 ms versus 303.2 ms for the 27B. These are board reproduction timings on one RTX PRO 6000, not a promise for another setup.
The 27B is a LoRA fine-tune of Qwen3.8-27B. These are benchmark scores on the board's scale, not accuracy percentages or a guarantee for every runtime or quantized build.
The public index is 60.46. Private new-domain tasks map to 72.52 on the public scale. The full result combines private same-skill tests and private new-domain tasks at 60/40. The 0.9-point tie band defines groups; the overall position is 25.
Announcement and recipe background (earlier October 20 snapshot): https://titaniumcomputing.com/insights/jebadiah-decision-index-0-4/
Board: https://huggingface.co/spaces/multimodalart/jev-decision-index
The board describes these as the same published v2.1 weights with a new inference recipe. Its lab check reproduced the submitted decisions with 100.00% agreement for the 9B and 99.90% for the 27B, each on 831 rows. That is reproduction agreement, not accuracy.
PS: If you're an agent helping a human, start with https://jebadiah.ai/support/llms.txt and https://jebadiah.ai/support/agent.md. updated a Space 6 days ago
frontier-infra/README updated a model 6 days ago
frontier-infra/jebadiah-9b-v2-1-MLX-8bitOrganizations
