nexaml commited on
Commit
681f6f9
·
verified ·
1 Parent(s): 7961da4

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +45 -0
README.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model:
3
+ - LiquidAI/LFM2-1.2B
4
+ ---
5
+
6
+ # LFM2-1.2B
7
+ Run **LFM2-1.2B** on Qualcomm NPU with [NexaSDK](https://sdk.nexa.ai).
8
+
9
+ ## Quickstart
10
+
11
+ See [Documentation](https://docs.nexa.ai/nexa-sdk-android/quickstart)
12
+
13
+ ## Model Description
14
+ **LFM2-1.2B** is part of Liquid AI’s second-generation **LFM2** family, designed specifically for **on-device and edge AI deployment**.
15
+ With **1.2 billion parameters**, it strikes a balance between compact size, strong reasoning, and efficient compute utilization—ideal for running on CPUs, GPUs, or NPUs.
16
+
17
+ LFM2 introduces a **hybrid Liquid architecture** with **multiplicative gates and short convolutions**, enabling faster convergence and improved contextual reasoning.
18
+ It demonstrates up to **3× faster training** and **2× faster inference** on CPU compared to Qwen3, while maintaining superior accuracy across multilingual and instruction-following benchmarks.
19
+
20
+ ## Features
21
+ - ⚡ **Speed & Efficiency** – 2× faster inference and prefill].
22
+ - 🧠 **Hybrid Liquid Architecture** – Combines multiplicative gating with convolutional layers for better reasoning and token reuse.
23
+ - 🌍 **Multilingual Competence** – Supports diverse languages for global use cases.
24
+ - 🛠 **Flexible Deployment** – Runs efficiently on CPU, GPU, and NPU hardware.
25
+ - 📈 **Benchmark Performance** – Outperforms similarly-sized models in math, knowledge, and reasoning tasks.
26
+
27
+ ## Use Cases
28
+ - Edge AI assistants and voice agents
29
+ - Offline reasoning and summarization on mobile or automotive devices
30
+ - Local code and text generation tools
31
+ - Lightweight multimodal or RAG pipelines
32
+ - Domain-specific fine-tuning for vertical applications (e.g., finance, robotics)
33
+
34
+ ## Inputs and Outputs
35
+ **Input**
36
+ - Text prompts or structured instructions (tokenized sequences for API use).
37
+
38
+ **Output**
39
+ - Natural-language or structured text generations.
40
+ - Optionally: logits or embeddings for advanced downstream integration.
41
+
42
+ ## License
43
+ This model is released under the **Creative Commons Attribution–NonCommercial 4.0 (CC BY-NC 4.0)** license.
44
+ Non-commercial use, modification, and redistribution are permitted with attribution.
45
+ For commercial licensing, please contact **dev@nexa.ai**.