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Agnes-3.0-Flash 33B multimodal model released with 262K context

By PulseAugur Editorial · [1 sources] ·

A new multimodal large language model, Agnes-3.0-Flash, has been released with a 33 billion parameter count and a substantial 262,144 token context window. This model features a hybrid attention architecture, incorporating both delta-rule recurrent layers and standard global attention layers to manage its extensive context. The model also supports adjustable reasoning effort, tool calling, and understanding of text, image, and video inputs. AI

IMPACT Introduces a novel hybrid attention architecture that could influence future LLM designs for handling long contexts.

RANK_REASON Release of a new open-source model with novel architectural details. [lever_c_demoted from research: ic=1 ai=1.0]

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Agnes-3.0-Flash 33B multimodal model released with 262K context

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Release of a new open-source model with novel architectural details. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
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High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Skyline34rGt ·

    Agnes-AI/Agnes-3.0-Flash 33B Multimodal, AA score: 36

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1we6lrn/agnesaiagnes30flash_33b_multimodal_aa_score_36/"> <img alt="Agnes-AI/Agnes-3.0-Flash 33B Multimodal, AA score: 36" src="https://external-preview.redd.it/Jyznt9SzpcdsQcFOm5FbFqldhSc2XhuPLeOuGaDqFCE.png?…

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