The family covers text (a 1.7B model with a 256K context that fits in about 1 GB), vision with video, speech, an omni model and two "decision" models, and LM Studio and Ollama added them on day one. It was the most-discussed release across five p...
VQV Signal
OPEN SOURCE
WATCH
TECHNICAL
Liquid AI releases LFM3, six open-weight models around 2B parameters that run on your own devices
The family covers text (a 1.7B model with a 256K context that fits in about 1 GB), vision with video, speech, an omni model and two "decision" models, and LM Studio and Ollama added them on day one. It was the most-discussed release across five p...
The family covers text (a 1.7B model with a 256K context that fits in about 1 GB), vision with video, speech, an omni model and two "decision" models, and LM Studio and Ollama added them on day one. It was the most-discussed release across five pulses; the claims that it beats much bigger Qwen models come from...
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 95%
Technical label WATCH
Public Interest 52
Category OPEN SOURCE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 68
Practical Impact Score 26
Novelty Interest Score 94
Consequence Score 18
Curiosity Score 16
Shareability Score 65
Topics
VQV surfaced this signal because it is recent, relevant to Open Source LLMs, connected to Scobleizer News Pulse (X).
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