---
title: LFM2.5-1.2B-thinking-GGUF
canonical_url: "https://www.modelscope.ai/models/NexaAI/LFM2.5-1.2B-thinking-GGUF"
md_url: "https://www.modelscope.ai/models/NexaAI/LFM2.5-1.2B-thinking-GGUF.md"
repository: NexaAI/LFM2.5-1.2B-thinking-GGUF
last_updated: 2026-01-21
library_name:
  - gguf
  - pytorch
frameworks:
  - pytorch
downloads: 155
stars: 0
tags:
  - gguf
---

# LFM2.5-1.2B-thinking-GGUF

> LFM2.5-1.2B-thinking-GGUF - An open-source model by NexaAI on ModelScope. LFM2.5-1.2B-Thinking

- **Repository**: NexaAI/LFM2.5-1.2B-thinking-GGUF
- **Tags**: gguf
- **Downloads**: 155
- **Stars**: 0
- **Last updated**: 2026-01-21

Source: https://www.modelscope.ai/models/NexaAI/LFM2.5-1.2B-thinking-GGUF

---

# LFM2.5-1.2B-Thinking

## Model Description
**LFM2.5-1.2B-Thinking** is a ~1.17B-parameter “thinking” (reasoning-tuned) language model from Liquid AI’s LFM2.5 family, designed for efficient deployment (including on-device/edge scenarios).

It supports long-context usage (up to **32,768** tokens) and is trained/tuned with a focus on instruction following and reasoning-oriented behavior.

## Quickstart
1.  **Install [NexaSDK](https://github.com/NexaAI/nexa-sdk)**
2.  Run the model on Qualcomm NPU in one line:
   ```bash
   nexa infer NexaAI/LFM2.5-1.2B-thinking-GGUF
   ```


## Features
- **Reasoning-oriented**: tuned for stronger step-by-step problem solving vs. base variants.
- **Conversational AI**: context-aware dialogue using a chat template format.
- **Tool / function calling**: supports tool-use patterns for agentic workflows.
- **Long context**: supports up to **32K** context length.
- **Multilingual**: supports multiple languages (including English and several major world languages).

## Use Cases
- On-device assistants and private “local-first” chat experiences
- Tool-using agents (structured actions via function calls)
- Document Q&A and summarization (especially when paired with retrieval)
- Structured extraction and classification tasks

## Inputs and Outputs
**Input**:
- Text prompts or conversation history, typically formatted using the model’s chat template.

**Output**:
- Generated text (answers, explanations, reasoning responses).
- Optional structured tool calls when prompted for tool-use behavior.

## License
This repo is licensed under the Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0) license, which allows use, sharing, and modification only for non-commercial purposes with proper attribution. All NPU-related models, runtimes, and code in this project are protected under this non-commercial license and cannot be used in any commercial or revenue-generating applications. Commercial licensing or enterprise usage requires a separate agreement. For inquiries, please contact `dev@nexa.ai`