Type a name, or just describe what you need. Results blend keyword and meaning-based search. 9 matches, each with an EU availability status.
Model · PrismML
Ternary/1-bit compressed 27B-parameter model from PrismML, about 3.9–5.9 GB, built to run on phones and laptops.
Model · Microsoft
Microsoft's coding-focused language model, positioned as a faster, more token-efficient alternative to Claude Haiku 4.5.
Model · Edge0
Open-weights 0.17B-parameter multilingual text-to-speech model with zero-shot voice cloning, runs on CPU via ONNX.
Model · OpenBMB
1B-parameter dense open-weights language model from OpenBMB for on-device use, with hybrid thinking and 128K context.
Microsoft's coding-focused AI model in the MAI family, announced with few public details.
Model · IQuest Lab
320B-parameter MoE model (15B active) from IQuest for agentic coding and tool use, with 512K context.
Model · Alibaba
Alibaba research model for real-time conversational avatars using one transformer over text, audio and video.
PrismML's 1-bit/ternary compressed Flux 2 Klein text-to-image model (~1 GB) for offline on-phone generation.
Ternary-weight (-1, 0, +1) compression of a 27B model by PrismML, shrunk to about 5.9 GB for local use.
