Inferencer
Run and deeply control local artificial intelligence models
What it does
Inferencer lets you download, run, and fully control the latest SOTA AI models locally. Advanced inferencing and parental controls let you fine‑tune accuracy, inspect token probabilities in real time, and use prompt framing to guardrail the output generated.
Does a similar job
all alternatives →- IRInferencer – Run and deeply control local AI models (macOS release)Sep 2025 · inferencer.com · ▲15
Private inference app that lets you see the token entropy, explore and change the token probabilities. Just released on macOS, iOS version next then other platforms. Here's a demo of it in action running DeepSeek Terminus: https://youtu.be/kts098EL2PQ Would love to hear any feedback or feature requests from the community.
General ComputeMay 2026 · generalcompute.com · ▲315AI models that run on an inference cloud optimized for speed
- WMWe made our own inference engine for Apple Silicon2025 · github.com · ▲186
We wrote our inference engine on Rust, it is faster than llama cpp in all of the use cases. Your feedback is very welcomed. Written from scratch with idea that you can add support of any kernel and platform.
- PIPip install inference, open source computer vision deployment2023 · github.com · ▲71
Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…
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