--- title: LiquidAI: LFM2.5 1.2B Instruct (free) | Text Generation | ModelsLab description: Free 1.2B parameter LLM with hybrid convolution-attention architecture, 32K context, under 1GB RAM on-device; excels in reasoning, agents, RAG at 239 TPS. url: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/liquid/liquid-lfm-2.5-1.2b-instruct-free/api.md canonical: https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/liquid/liquid-lfm-2.5-1.2b-instruct-free/api.md type: product component: Playground/LLM/Index generated_at: 2026-05-13T10:32:22.257226Z --- LiquidAI: LFM2.5-1.2B-Instruct (free) --- [LLMs.txt](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router/liquid-lfm-2.5-1.2b-instruct-free/llms.txt) [.md](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/liquid/liquid-lfm-2.5-1.2b-instruct-free.md) liquid-lfm-2.5-1.2b-instruct-free liquid Closed Source Model LiquidAI: LFM2.5-1.2B-Instruct (free) --- Choose a prompt below to get started or type your own message Explain quantum computing in simple terms Write a Python function to sort a list Create a marketing email for a SaaS product Compare REST vs GraphQL APIs Send ### LiquidAI: LFM2.5-1.2B-Instruct (free) liquid liquid-lfm-2.5-1.2b-instruct-free Copy model ID PricingInput $0.00 / 1M tokens Output $0.00 / 1M tokens API EndpointsOpenAI Compatible `https://modelslab.com/api/v7/llm/chat/completions`Endpoint Anthropic Compatible `https://modelslab.com/api/v7/llm/v1/messages`Messages `https://modelslab.com/api/v7/llm/v1/messages/count_tokens`Count Tokens `https://modelslab.com/api/v7/llm/v1/models`Models Use with Claude Code cURL Example ParametersSystem MessageYou are a helpful AI assistant specialized in providing accurate and detailed responses. 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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 IDliquid-lfm-2.5-1.2b-instruct-freeCategoryLLM ModelsTaskText GenerationAddedFebruary 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](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) to get started. PythonJavaScriptcURLPHP ``` 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](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/liquid/liquid-lfm-2.5-1.2b-instruct-free/api) 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 [Learn more about LiquidAI: LFM2.5-1.2B-Instruct (Free)](https://modelslab-frontend-v2-927501783998.us-east4.run.app/liquidai-lfm25-12b-instruct-free) [Browse LLM Models](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models?feature=llmaster) [More from Liquid](https://modelslab-frontend-v2-927501783998.us-east4.run.app/models/open_router) [View Pricing](https://modelslab-frontend-v2-927501783998.us-east4.run.app/pricing) LiquidAI: LFM2.5-1.2B-Instruct (Free) FAQ --- ### What is 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. ### How do I use the LiquidAI: LFM2.5-1.2B-Instruct (Free) API? 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. ### What is the LiquidAI: LFM2.5-1.2B-Instruct (Free) model ID? 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. ### Does LiquidAI: LFM2.5-1.2B-Instruct (Free) have a free tier? 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. --- *This markdown version is optimized for AI agents and LLMs.* **Links:** - [Website](https://modelslab.com) - [API Documentation](https://docs.modelslab.com) - [Blog](https://modelslab.com/blog) --- *Generated by ModelsLab - 2026-05-13*