LiteRT is Google’s on-device runtime, the new name for TensorFlow Lite (Android: com.google.ai.edge.litert:litert), and litert-torch, the renamed ai-edge-torch, is its PyTorch converter: a PyTorch model converted unmodified with literttorch.convert` matched the original to 4e-7 on a Galaxy S26 (measured, LiteRT 2.2.0, Android 16, 2026-09-05). LiquidAI/LFM2.5-1.2B-Instruct converted to the LiteRT-LM (.litertlm) format for on-device inference with Google’s LiteRT-LM runtime (requires litert-lm ≥ 0.14 / a recent AI Edge Gallery). > Update (2026-08-04): the .litertlm files were updated in place to add the ExecutorMetadata section that litert-lm ≥ 0.15 requires to bind the hybrid conv/attention state buffers (without it, 0.15 fails at inference with missing some output TensorBuffers). Weights and graph are byte-identical to the original release, and the files continue to run on litert-lm 0.14. LFM2.5-1.2B-Instruct is Liquid AI’s flagship on-device model: a hybrid architecture mixing gated short-convolution blocks with grouped-query attention. Per the base model card it outperforms Qwen3-1.7B and Gemma 3 1B on knowledge and instruction-following benchmarks at a smaller footprint.…
Модальности:
Генерация текста
Области применения:
Следование инструкциям
Задача: Генерация текста
Автор: litert-community
Теги: litert-lm, litert, litertlm, on-device, edge, hybrid, liquid
Лайков: 4 | Загрузок: 2,247
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
