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OpenRouter model

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...

Provider
OpenRouter
Availability
Available
Model ID
liquid/lfm-2.5-embedding-350m:free
Snapshot
2026-10-07

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

LiquidAI: LFM2.5-Embedding-350M (free) is listed in the public Swarm catalog through OpenRouter. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.

Provider
OpenRouter
Family
OpenRouter
Context window
512 tokens
Thinking support
Not supported
Availability status
Available
Catalog ID
openrouter/liquid/lfm-2.5-embedding-350m:free
  • Text input
  • Embedding output
  • Embeddings

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

Verified CLI workflow & multi-agent architecture

Quickstart Guide →
bash — swarm run
$swarm ctl model set --provider openrouter --model openrouter/liquid/lfm-2.5-embedding-350m:free

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign LiquidAI: LFM2.5-Embedding-350M (free) to specialized system roles in ~/.swarm/config.json:

  • Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
  • Coder Subagent: Generates code and unit tests inside private Git worktrees.
  • Finder Subagent: Performs read-only code search, symbol discovery, and mapping.
System Agent Roles →Why Swarm Architecture →
← All OpenRouter models

Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.