liquid

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

Name: LiquidAI: LFM2.5-Embedding-350M (free)
Creator: liquid
Published: 2026-08-18T18:31:48.000Z

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...

View source on OpenRouter Hugging Face

Overview

Model specifications

Context: 512 tokens
Maximum output: 460 tokens
Architecture: text->embeddings
Tokenizer: Other
Knowledge cutoff: Not provided
Moderated: No

Capabilities

Input → Output

Input

text

Output

embeddings

API

Supported API parameters

frequency_penaltymax_tokensmin_ppresence_penaltyrepetition_penaltyseedstoptemperaturetop_ktop_p

Available providers

0 providers

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Released Aug 12, 2026

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

View model details →