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LFM2.5-1.2B-Instruct: Responses
Liquid AI’s LFM2.5-1.2B-Instruct is a hybrid architecture model purpose-built for on-device deployment, trained on 28 trillion tokens with multi-stage reinforcement learning. It delivers best-in-class instruction following and native tool-calling at the 1B scale — something very few models this size can do reliably. Its hybrid design gives it significantly faster inference with lower memory usage compared to transformer-only models of the same size. If you need a conversational model that can actually run on real devices without a GPU, this is it. Supports 8 languages including English, Chinese, Japanese, and Spanish.
References: Model docsTermsPrivacy

Authorizations

x-api-key
string
header
required

Headers

x-project-id
string

Optional project identifier. Scopes the request to a specific project when provided.

Body

application/json
model
string
default:LFM2.5-1.2B-Instruct
required

Model identifier (fixed for this playground). Use request examples to change use cases.

Allowed value: "LFM2.5-1.2B-Instruct"
Example:

"LFM2.5-1.2B-Instruct"

input
string<textarea>
required

Multi-line text or document content to send to the model.

Required string length: 1 - 131072
instructions
string
metadata
object

Response

Success

The response is of type object.