
NVIDIA RTX Spark laptops add Nemotron 3.5, agent controls and DLSS games
Nemotron 3.5 Transcribe is open-weight today on Hugging Face, with about 4.3 billion active parameters.
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Nemotron 3.5 Transcribe is open-weight today on Hugging Face, with about 4.3 billion active parameters.
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LFM3-1.7B-Base was pre-trained on 22T tokens, with a 256K context after mid-training.
The post-trained text model uses a 256K context, about 1 GB at 4-bit, and the LFM Open License v1.0.
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The 2.17B checkpoint accepts text, images, video and 16 kHz audio, and can reply with text, 24 kHz speech, or both.
The 1.92B model takes text, images, and video, reasons step by step, and uses the LFM Open License v1.0.
Liquid AI released d1-ultra, a multimodal decision model scoring 65 on the AA Decision Index.
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Liquid AI released open-weight LFM2.5-24B-A2B, a 24B MoE with 2B active parameters for on-device agents.
Liquid AI released LFM2.5-24B-A2B, an open 24B MoE with 2.45B active parameters for local agents.
Liquid AI releases LFM2.5-24B-A2B, a 24B MoE with 2.45B active parameters for on-device agents.
Liquid AI released GGUF weights for LFM2.5-24B-A2B, including a Q4_0 distillation build.
Liquid AI released open-weight d1-3B and d1-omni-600M models that return typed decisions with zero output tokens.
Liquid AI releases d1-3B, a 3.1B open decision model that answers structured questions in one forward pass.

Liquid AI launched d1, a hosted decision model returning calibrated probabilities with zero output tokens.

Liquid AI released a 280M drafter that speeds LFM2.5-VL-3B decoding by up to 3.13x.
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