Trading VRAM for FLOPs: Local Model Quantization Debate
max_paperclips · x · 2026-09-02
Discusses a tradeoff strategy for local models: using more FLOPs (compute) to reduce VRAM usage. The example given is running a hypothetical Qwen-35b-a3b model at 1/3 TPS to approximate the performance of a 100b-a9b model.
The author argues this is viable for local setups with memory constraints or embedded environments. However, for a resource-rich entity like OpenAI, simply stacking more layers is a more logical approach than engaging in such complex tradeoffs.
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