#liquid ai
Liquid Ai: 10 AI articles covering liquid ai news, analysis, and research
Articles
Liquid AI Releases LFM3: Six Open-Weight 2B-Class Multimodal⭐8
Liquid AI's LFM3 offers six open-weight 2B-class multimodal models on one shared backbone, running on phones and laptops at ~1GB memory with 256K context.
Liquid AI Launches RIPL: A Real-Time Inference Engine Delivering⭐8
Liquid AI's RIPL inference engine serves LFM2.5 models with sub-50 ms end-to-end latency, delivering up to 28.4x lower p95 latency than Qwen3.5 on vLLM.
Liquid AI Releases LFM2.5-24B-A2B: A 2B-Active MoE Built for On⭐8
Liquid AI releases LFM2.5-24B-A2B, a 24B MoE with 2B active parameters built for on-device agents, delivering fast local tool calling on laptops and PCs.
Liquid AI Releases Open-Weight d1-3B and d1-omni-600M:⭐8
Liquid AI releases open-weight d1-3B and d1-omni-600M multimodal decision models that return typed answers with zero output tokens for real-time NVIDIA edge AI.
Liquid AI Releases LFM2.5-VL-3B-DSpark: Speculative Decoding for⭐8
Liquid AI releases LFM2.5-VL-3B-DSpark, a speculative decoding drafter for its vision-language model, delivering up to 3.13x faster decoding on Apple silicon, w...
Liquid AI Open-Sources Pipette: A Reproducible Benchmarking⭐7
Liquid AI open-sources Pipette, a benchmarking suite measuring on-device AI models across quantization, runtime, and hardware to reveal real-world edge performa...
Liquid AI Unveils LFM2.5-DSpark Draft Models: Up to 3.18x Faster⭐7
Liquid AI's DSpark draft models speed up LFM2.5 inference by up to 3.18x on H100, with identical outputs. Self-hosted deployment, open license for small firms.
Liquid AI Unveils LFM2.5-2.6B: On-Device Agentic Model with 128K⭐7
Liquid AI's LFM2.5-2.6B brings on-device agentic AI with 128K context, tool calling, and open weights for edge deployment.
MacPaw Partners with Liquid AI to Bring On-Device AI to Its App⭐9
MacPaw partners with Liquid AI to bring on-device AI to its app ecosystem, powering Eney with local inference for privacy, offline functionality, and
Liquid AI Releases LFM2.5-Encoder-230M and LFM2.5-Encoder-350M:⭐7
Liquid AI launches LFM2.5-Encoder-230M and 350M bidirectional models optimized for fast 8K context inference on CPU, enabling efficient real-time edge NLP.