Needle2 vs TensorSharp

An open 45M-parameter model for tool calling, device use, and structured extraction. Needle 2 runs as a 14 MB binary in 28 MB of session RAM.

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code.

About Needle2

An open 45M-parameter model for tool calling, device use, and structured extraction. Needle 2 runs as a 14 MB binary in 28 MB of session RAM. Needle 2 is measured end-to-end through the shipped binary at CQ2-bit deployment precision with tool retrieval on; baselines run the released checkpoints under vLLM, and Apple FM runs on-device. Bringing On-Device AI to <$200 Devices : Edge AI has lately meant Macs and PCs, but the true edge is mostly cheap hardware: there are more than 21 billion IoT devices against roughly 1.5 billion PCs.

About TensorSharp

TensorSharp is a native .NET GGUF inference engine with a CLI, Web UI, compatible APIs, Agent Skills, and optional sandboxed model-authored code. TensorSharp Wiki, Local GGUF inference and agentic work for .NET Skip to content. Everything runs on your own hardware : your laptop, workstation, or server. Inference and agent work stay local by default, there are no per-token fees, and the same engine powers a quick command-line test, a shared internal chatbot, and a production REST endpoint.