Ant Bailing's Ling-3.0-flash Achieves Top Benchmark Scores with 124B Parameters
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- PanDaily.com
Ant Bailing has announced the release of its Ling-3.0-flash model, which features a total of 124 billion parameters and 5.1 billion activated parameters. This model has achieved impressive results, securing 15 first-place and 19 second-place rankings across 34 evaluation dimensions, tying with DeepSeek V4 Flash for the highest average score.
The significance of this achievement lies in its performance metrics, as Ling-3.0-flash outperformed the previous 1T-Ring-2.6 model in 11 out of 12 benchmarks. This positions Ant Bailing as a strong competitor in the field of AI model development, showcasing advancements in execution efficiency and effectiveness.
Looking ahead, industry observers will be keen to see how Ant Bailing continues to innovate and whether Ling-3.0-flash will influence future developments in AI technologies. No further timeline was disclosed at the time of publication.
Original report
Same Day Jensen Huang Champions Open Source, Ant Bailing Releases 124B Ling-3.0-flash Execution Model: Beating 1T-Ring-2.6 in 11 of 12 Benchmarks at 12% the Parameters
PanDaily.com · [email protected] (Pandaily)This briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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