---
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.com/models/liquid/liquid-lfm-2.5-1.2b-instruct-free.md
canonical: https://modelslab.com/models/liquid/liquid-lfm-2.5-1.2b-instruct-free.md
type: product
component: Playground/LLM/Index
generated_at: 2026-04-15T00:19:48.510142Z
---

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

 [LLMs.txt](https://modelslab.com/models/open_router/liquid-lfm-2.5-1.2b-instruct-free/llms.txt) [.md](https://modelslab.com/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)
---

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### 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.

Temperature0.7

Max Tokens1000

Top P0.9

Frequency Penalty0

Presence Penalty0

Model Info

Support

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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 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.com/pricing) to get started.

PythonJavaScriptcURLPHP

```
<code>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}")</code>
```

View the [full API documentation](https://modelslab.com/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.com/liquidai-lfm25-12b-instruct-free) [Browse LLM Models](https://modelslab.com/models?feature=llmaster) [More from Liquid](https://modelslab.com/models/open_router) [View Pricing](https://modelslab.com/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.

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*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)

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*Generated by ModelsLab - 2026-04-15*