⚛️量子位•Freshcollected in 34m
100B Daxiang Model Hits SOTA with Top Token Efficiency

💡100B model crushes SOTA w/ insane token efficiency—must-know for cost-optimized LLMs.
⚡ 30-Second TL;DR
What Changed
Model name: 大象 (Daxiang)
Why It Matters
This demonstrates efficient smaller models can match or exceed larger ones, slashing compute costs and enabling broader AI adoption in resource-constrained environments.
What To Do Next
Benchmark 大象 model on LMSYS arena to verify SOTA claims against GPT-4 class models.
Who should care:Researchers & Academics
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Original source: 量子位 ↗