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

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

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

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

LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is...

Technical Specifications

Model ID
liquid-lfm-2.5-1.2b-thinking-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-Thinking (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-thinking-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-Thinking (Free) FAQ

LFM2.5-1.2B-Thinking is a lightweight reasoning-focused model optimized for agentic tasks, data extraction, and RAG—while still running comfortably on edge devices. It supports long context (up to 32K tokens) and is...

You can integrate LiquidAI: LFM2.5-1.2B-Thinking (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-thinking-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-Thinking (Free) is "liquid-lfm-2.5-1.2b-thinking-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-Thinking (Free) and other AI models. Sign up to get free API credits and start building immediately.