AI

How long are we gonna depend bunch of model creators (like Qwen, Gemma, NVIDIA, etc.,) for ~100B models?

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 14/11/2026, 19:47:26 UTC.

Briefings

Analysis of AI model size trends indicates a critical transition period where 100B parameter models will become insufficient for standard 128GB devices by 2027, with future growth likely exceeding 500B. Current evidence highlights specific model sizes ranging from 284B to 1T, noting that 1-bit/2-bit models may eventually fit on 24-32GB RAM. The discussion focuses on potential alternatives like distillation and low-bit models, though the feasibility of creating distills remains uncertain.

Key points

• By 2027, models around 100B parameters will likely become critical for 128GB devices, as many creators are increasing sizes to 300B+ and beyond.
• Current evidence lists specific model sizes from 284B to 1T, with 1-bit/2-bit models potentially fitting on 24-32GB RAM alone if MoE efficiency improves.

Context

This briefing analyzes AI model size trends and hardware constraints. The discussion centers on the transition from 100B to 500B+ models and potential alternatives like distillation and low-bit models.

Limitations

Evidence is limited to a single Reddit thread; specific dates for model releases are not confirmed, and the feasibility of creating distills remains uncertain without further research.

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