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LiquidAI: LFM2.5-Embedding-350M (free)

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 used to train...

Ver fuente en OpenRouter Hugging Face
Resumen

Especificaciones del modelo

Context
512 tokens
Salida máxima
460 tokens
Arquitectura
text->embeddings
Tokenizador
Other
Corte de conocimiento
Not provided
Moderado
No
Capacidades y modalidades

Input → Output

Input
text
Output
embeddings
API

Parámetros API compatibles

frequency_penaltymax_tokensmin_ppresence_penaltyrepetition_penaltyseedstoptemperaturetop_ktop_p
Proveedores disponibles

0 proveedores

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Lliquid

LiquidAI: LFM2.5-2.6B (free)

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

Context
66K
Input
text
Output
text
Input: FreeOutput: Freeper 1M tokens
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