LFM2.5

LFM2.5

Liquid AI
Solar Mini

Solar Mini

Upstage AI
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+

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About

Liquid AI’s LFM2.5 is the next generation of on-device AI foundation models designed to deliver high-performance, efficient AI inference on edge devices such as phones, laptops, vehicles, IoT systems, and embedded hardware without relying on cloud compute. It extends the previous LFM2 architecture by significantly increasing the pretraining scale and reinforcement learning stages, yielding a family of hybrid models around 1.2 billion parameters that balance instruction following, reasoning, and multimodal capabilities for real-world agentic use cases. The LFM2.5 family includes Base (for fine-tuning and customization), Instruct (general-purpose instruction-tuned), Japanese-optimized, Vision-Language, and Audio-Language variants, all optimized for fast, on-device inference under tight memory constraints and available as open-weight models deployable via frameworks like llama.cpp, MLX, vLLM, and ONNX.

About

Solar Mini is a pre‑trained large language model that delivers GPT‑3.5‑comparable responses with 2.5× faster inference while staying under 30 billion parameters. It achieved first place on the Hugging Face Open LLM Leaderboard in December 2023 by combining a 32‑layer Llama 2 architecture, initialized with high‑quality Mistral 7B weights, with an innovative “depth up‑scaling” (DUS) approach that deepens the model efficiently without adding complex modules. After DUS, continued pretraining restores and enhances performance, and instruction tuning in a QA format, especially for Korean, refines its ability to follow user prompts, while alignment tuning ensures its outputs meet human or advanced AI preferences. Solar Mini outperforms competitors such as Llama 2, Mistral 7B, Ko‑Alpaca, and KULLM across a variety of benchmarks, proving that compact size need not sacrifice capability.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and organizations building on-device AI applications and intelligent agents that need efficient, high-quality AI models capable of running locally on consumer, edge, or embedded hardware

Audience

Developers and AI teams in need of a solution with robust instruction following and RAG‑enabled document processing for real‑time applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$0.1 per 1M tokens
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/blog/introducing-lfm2-5-the-next-generation-of-on-device-ai

Company Information

Upstage AI
Founded: 2020
United States
www.upstage.ai/blog/en/introducing-solar-mini-compact-yet-powerful

Alternatives

Alternatives

Llama 2

Llama 2

Meta
MedGemma

MedGemma

Google DeepMind
Mistral 7B

Mistral 7B

Mistral AI
Mistral NeMo

Mistral NeMo

Mistral AI
HunyuanOCR

HunyuanOCR

Tencent
Qwen2

Qwen2

Alibaba
Phi-4-reasoning

Phi-4-reasoning

Microsoft

Categories

Categories

Integrations

Hugging Face
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
LEAP
Llama
Llama 2
Llama 3.2
Mistral 7B
Qwen3
Syn
Upstage AI

Integrations

Hugging Face
Amazon Bedrock
ElevenLabs
Gemma 3
Gemma 4
LEAP
Llama
Llama 2
Llama 3.2
Mistral 7B
Qwen3
Syn
Upstage AI
Claim LFM2.5 and update features and information
Claim LFM2.5 and update features and information
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