@AntLingAGI: Introducing Ling-2.6-flash, an instruct model with 104B total parameters and 7.4B active parameters. Ling-2.6-flash is …
Summary
Ling-2.6-flash is a 104B-total/7.4B-active sparse instruct model optimized for token efficiency, aiming to cut costs and boost throughput on agent tasks.
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Cached at: 04/22/26, 02:09 AM
Introducing Ling-2.6-flash, an instruct model with 104B total parameters and 7.4B active parameters. Ling-2.6-flash is designed for high token efficiency, not inflated outputs. It stays competitive on real agent tasks while helping developers reduce cost, improve throughput,
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