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Ling-3.0-flash

2 articles · Page 1 of 1

Aug 20, 2026 · Artificial Intelligence

Ling-3.0-flash: Open-Source LLM Designed for Real-World Deployment

Ling-3.0-flash is a newly open‑sourced 124B‑parameter MoE model that offers multiple quantized versions, API, single‑machine private deployment, and high‑performance GPU inference exceeding 1100 tokens/s, with detailed benchmarks, optimization techniques, and real‑world use‑case analyses for agents, coding, and sensitive data processing.

LLMLing-3.0-flashMoE

0 likes · 15 min read

Ling-3.0-flash: Open-Source LLM Designed for Real-World Deployment

Machine Heart

Jul 29, 2026 · Artificial Intelligence

How Ling‑3.0‑flash Proves “Less Is More” with 124B Parameters but Only 5.1B Activated

Ling‑3.0‑flash demonstrates that a 124‑billion‑parameter model can achieve flagship‑level performance while activating only 5.1 billion parameters, thanks to native mixed‑linear attention, KDA, and extreme MoE sparsity, making it a fast, cost‑effective execution engine for Agent‑centric workflows.

Agent ExecutionBenchmarkLarge Language Model

0 likes · 17 min read

How Ling‑3.0‑flash Proves “Less Is More” with 124B Parameters but Only 5.1B Activated