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What is LFM2.5?
Liquid AI's LFM2.5 marks a significant evolution in on-device AI foundation models, designed to optimize efficiency and performance for AI inference across edge devices, including smartphones, laptops, vehicles, IoT systems, and various embedded hardware, all while eliminating reliance on cloud computing. This upgraded version builds on the previous LFM2 framework by significantly increasing the scale of pretraining and enhancing the stages of reinforcement learning, leading to a collection of hybrid models that feature approximately 1.2 billion parameters and successfully balance adherence to instructions, reasoning capabilities, and multimodal functions for real-world applications. The LFM2.5 lineup includes various models, such as Base (for fine-tuning and personalization), Instruct (tailored for general-purpose instruction), Japanese-optimized, Vision-Language, and Audio-Language editions, all carefully designed for swift on-device inference, even under strict memory constraints. Additionally, these models are offered as open-weight alternatives, enabling easy deployment through platforms like llama.cpp, MLX, vLLM, and ONNX, which enhances flexibility for developers. With these advancements, LFM2.5 not only solidifies its position as a powerful solution for a wide range of AI-driven tasks but also demonstrates Liquid AI's commitment to pushing the boundaries of what is possible with on-device technology. The combination of scalability and versatility ensures that developers can harness the full potential of AI in practical, everyday scenarios.
What is Bonsai 27B?
Bonsai 27B emerges as the newest flagship in the Bonsai series, representing the first-ever 27B-class model crafted for mobile device functionality. Leveraging the foundation of Qwen3.6 27B, this model significantly enhances local device capabilities with sophisticated multi-step reasoning, structured tool interactions, vision tasks, and agentic loops that ensure coherence across numerous operations. The Bonsai 27B is offered in two unique versions, with the Ternary Bonsai 27B utilizing ternary weights alongside FP16 group-wise scaling to achieve an effective weight of 1.71 bits, while maintaining a 5.9 GB footprint ideal for high-performance laptops. Alternatively, the 1-bit Bonsai 27B adopts binary weights with the same group-wise scaling approach, resulting in an effective weight of 1.125 bits and a reduced size of 3.9 GB, which aligns well with the memory limitations of devices such as the iPhone 17 Pro. Both variants operate smoothly throughout the entire language network, encompassing embeddings, attention mechanisms, MLPs, and the language model head, without the need for higher-precision solutions. Additionally, they include a compact 4-bit vision tower, which empowers on-device workflows to accurately analyze screenshots, documents, and camera inputs, thereby improving user interaction and productivity. This groundbreaking methodology illustrates Bonsai 27B's dedication to advancing the frontiers of mobile AI technology and enhancing the user experience across diverse applications.
Integrations Supported
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama
Llama 3.2
Qwen3
Integrations Supported
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
Hugging Face
LEAP
Llama
Llama 3.2
Qwen3
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Liquid AI
Date Founded
2023
Company Location
United States
Company Website
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai
Company Facts
Organization Name
PrismML
Date Founded
2026
Company Location
United States
Company Website
prismml.com/news/bonsai-27b