rshemet
Joined 4 years ago
Joined 4 years ago
Either way, setting temperature to 5° is obviously wrong - even if it knew the current temperature - but models of this size can't reason about relative values very well.
Give it a tool to change temperature by a given amount, and see what happens!
could you say more? What kind of home assistant / what stack
yes you're right, there's only so much a 14MB model can do.
Needle excels at in-conext inference, with tightly defined environments. In our experience:
accurate descriptions + narrow tool scope = success
but if you're just looking for somewhere to try the model, use our in-browser playground! - https://cactuscompute.com/needle
In the meantime, if you have enough RAM for the current model (≈28MB), our repo will get you up & running:
We don't advise using GPUs on smartphones, since they're very energy-inefficient. Mobile GPU inference is actually the main driver behind the stereotype that "mobile inference drains your battery and heats up your phone".
Wrt to your last question – the short answer is yes, we'll have multimodal support. We currently support voice transcription and image understanding. We'll be expanding these capabilities to add more models, voice synthesis, and much more.
In our deployments, we've seen open source models rival and even outperform lower-tier cloud counterparts. Happy to share some benchmarks if you like.
Our pricing is on a per-monthly-active-device basis, regardless of utilization. For voice-agent workflows, you typically hit savings as soon as you process over ≈2min of daily inference.
Blazing-fast, cross-platform, and supports nearly all recent OS models.
opening this thread for questions/feedback if you have any