liquidListed 6 days ago
LiquidAI: LFM2.5-24B-A2B
24B total, 2.45B active parameters; always reasons before answering, with GGUF and MLX releases for local deployment.
128K context24BTool callingStructured outputNo reported score
No reported score
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24B total, 2.45B active parameters; always reasons before answering, with GGUF and MLX releases for local deployment.
LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and…