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Last 30 days, Oct 5 – Nov 3
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Mentions
别再把端侧 Agent 理解成非得塞进一个大模型。 Needle 2：45M 参数、单文件 14MB，能在手机、手表、机器人上跑工具调用。整段会话内存约 28MB，断网照样可用，输出直接就是 JSON。 文本输入、JSON 输出，还能查看置信度，拿不准就转交云端。 🔗cactus-compute/needle t.co
117 new stars this week. Instead of running 200M+ parameter models for on-device tool calls, Needle fits structured JSON extraction into a 14MB binary. cactus-compute/needle #Python #Embeddings #MachineLearning #LocalFirst #OpenSource
At just 14MB, Needle runs structured tool calls in 28MB of RAM so you can drive local automation without the cloud. cactus-compute/needle
16.9 MB speech-to-text. 11 ms to first token, CPU only, zero deps, seven languages. whisper-medium is ~1.5 GB. the size floor for useful on-device models keeps dropping faster than I expected. @cactuscompute github.com/cactus-compute
Whistle now supports live transcription streaming and long audio file transcription. Repo: cactus-compute/needle t.co
@sakshjn @victormustar Yes it streams! Streaming mode added recently to the binary - check needle.stream() cactus-compute/needle
Needle brings tool calling and structured JSON extraction to tiny edge devices using a 14MB binary. cactus-compute/needle