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LiquidAI: LFM2.5-1.2B-Instruct (free)

liquid-lfm-2.5-1.2b-instruct-freeliquidClosed Source Model

LiquidAI: LFM2.5-1.2B-Instruct (free)

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About LiquidAI: LFM2.5-1.2B-Instruct (Free)

LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.

Technical Specifications

Model ID
liquid-lfm-2.5-1.2b-instruct-free
Category
LLM Models
Task
Text Generation
Added
February 20, 2026

Key Features

  • Chat completion and multi-turn conversation API
  • Streaming response with token-by-token output
  • Function calling and tool use support
  • System prompts and role-based messaging
  • JSON mode and structured output

Quick Start

Integrate LiquidAI: LFM2.5-1.2B-Instruct (Free) into your application with a single API call. Get your API key from the pricing page to get started.

import requests
import json
url = "https://modelslab.com/api/v7/llm/chat/completions"
headers = {
"Content-Type": "application/json"
}
data = {
"model_id": "liquid-lfm-2.5-1.2b-instruct-free",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"max_tokens": 1000,
"key": "YOUR_API_KEY"
}
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status() # Raises an HTTPError for bad responses (4XX or 5XX)
result = response.json()
print("API Response:")
print(json.dumps(result, indent=2))
except requests.exceptions.HTTPError as http_err:
print(f"HTTP error occurred: {http_err} - {response.text}")
except Exception as err:
print(f"Other error occurred: {err}")

View the full API documentation for SDKs, code examples in Python, JavaScript, and more.

Use Cases

  • AI chatbots and virtual assistants
  • Code generation and developer tools
  • Content writing and copywriting automation
  • Data analysis, summarization, and extraction

LiquidAI: LFM2.5-1.2B-Instruct (Free) FAQ

LFM2.5-1.2B-Instruct is a compact, high-performance instruction-tuned model built for fast on-device AI. It delivers strong chat quality in a 1.2B parameter footprint, with efficient edge inference and broad runtime support.

You can integrate LiquidAI: LFM2.5-1.2B-Instruct (Free) into your application with a single API call. Sign up on ModelsLab to get your API key, then use the model ID "liquid-lfm-2.5-1.2b-instruct-free" in your API requests. We provide SDKs for Python, JavaScript, and cURL examples in the API documentation.

The model ID for LiquidAI: LFM2.5-1.2B-Instruct (Free) is "liquid-lfm-2.5-1.2b-instruct-free". Use this ID in your API requests to specify this model.

Yes, ModelsLab offers a free tier that lets you try LiquidAI: LFM2.5-1.2B-Instruct (Free) and other AI models. Sign up to get free API credits and start building immediately.