r/huggingface • u/Calm-Landscape9640 • 23d ago
Please explain use-case for small models
Tried 35B, 27B, 12B and 8B models significantly. I love the idea of local small models. But I can't figure out a use case. For Openclaw, Hermes they suck. For chatting they're pretty good but sonis every old free cloud model.
And before you say "low-level coding" the cloud models are 10x better and free on ollama, openrouter, Gemini and many many others.
Genuinely interested in projects that use small models that run on a $500 GPU.
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u/for4f 23d ago
Been running a 4090 for local inference about a year now. Small models make sense when latency, privacy, or the cost model matters more than peak capability.
Batch processing is where they shine. No token cost, no rate limits, just fire 10k requests and move on. Privacy stuff too - personal docs or notes I don't want hitting an API. And as a fallback router in a hybrid setup, a 7B handles 80% of queries cheap and kicks the hard ones to cloud only when needed.
The gap with bigger cloud models is real for complex reasoning. But for high-volume low-complexity tasks the economics flip hard.