LFM2.5-Encoders for Fast Long-Context Inference on CPU

Hugging Face (with LiquidAI) releases two new encoder models, LFM2.5-Encoder-230M and LFM2.5-Encoder-350M, designed for fast long-context inference on CPU, matching larger models with an 8,192-token context and improved latency.

From the source
Today, we release two new encoder models on Hugging Face: LFM2.5-Encoder-230M and LFM2.5-Encoder-350M.
huggingface.co

Visit source ↗huggingface.co

Announced: 28 Jul 2026 15:01 UTC
Detected: 03 Aug 2026 21:12 UTC (+6d after)
Context window: 8,192-token context

Other stories

Hugging Face · 28 AugThe Open ASR Leaderboard Adds Its First Global South LanguageCapability change

xAI · 29 AugGrok Bot now works with XCapability change

GitHub · 28 AugGitHub Copilot in Visual Studio — August update

GitHub · 28 AugGitHub Copilot weekly releases — August 24Capability change

Amazon · 28 AugBatch write and discover records in Amazon SageMaker Feature Store

API release

Perplexity · 28 AugGLM 5.3API release