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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...

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Context
512 tokens
Output massimo
460 tokens
Architettura
text->embeddings
Tokenizer
Other
Limite di conoscenza
Not provided
Moderato
No
Capacità e modalità

Input → Output

Input
text
Output
embeddings
API

Parametri API supportati

frequency_penaltymax_tokensmin_ppresence_penaltyrepetition_penaltyseedstoptemperaturetop_ktop_p
Provider disponibili

0 provider

Nell’ultima sincronizzazione non erano disponibili dettagli sugli endpoint.

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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
Vedi i dettagli del modello →