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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

The Gemma family consists of advanced, lightweight models developed using the same innovative research and technology as the Gemini models. These cutting-edge models are equipped with robust security features that promote responsible and trustworthy AI applications, achieved through carefully curated data sets and thorough refinements. Notably, Gemma models excel in their various sizes—2B, 7B, 9B, and 27B—often exceeding the performance of some larger open models. With the introduction of Keras 3.0, users can experience effortless integration with JAX, TensorFlow, and PyTorch, providing flexibility in framework selection based on specific tasks. Designed for peak performance and remarkable efficiency, Gemma 2 is specifically optimized for rapid inference across a range of hardware platforms. Furthermore, the Gemma family includes diverse models that cater to distinct use cases, ensuring they adapt effectively to user requirements. These lightweight language models feature a decoder and have been trained on an extensive array of textual data, programming code, and mathematical concepts, which enhances their versatility and utility in various applications.

Description

LFM-3B offers outstanding performance relative to its compact size, securing its top position among models with 3 billion parameters, hybrids, and RNNs, while surpassing earlier generations of 7 billion and 13 billion parameter models. In addition, it matches the performance of Phi-3.5-mini across several benchmarks, all while being 18.4% smaller in size. This makes LFM-3B the perfect option for mobile applications and other edge-based text processing needs, illustrating its versatility and efficiency in a variety of settings.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AiAssistWorks Yes 
C Yes 
C# Yes 
Gemma Yes 
Google Colab Yes 
HTML Yes 
Java Yes 
LM-Kit.NET Yes 
LangChain Yes 
Mirai No 
Molmo Yes 
MongoDB Yes 
NVIDIA DRIVE Yes 
Nebius Token Factory Yes 
Ollama Yes 
Pipeshift Yes 
TensorFlow Yes 
TypeScript Yes 
VESSL AI Yes 
Visual Basic Yes 

Integrations

AiAssistWorks No 
C No 
C# No 
Gemma No 
Google Colab No 
HTML No 
Java No 
LM-Kit.NET No 
LangChain No 
Mirai Yes 
Molmo No 
MongoDB No 
NVIDIA DRIVE No 
Nebius Token Factory No 
Ollama No 
Pipeshift No 
TensorFlow No 
TypeScript No 
VESSL AI No 
Visual Basic No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Country

United States

Website

ai.google.dev/gemma

Vendor Details

Company Name

Liquid AI

Country

United States

Website

www.liquid.ai/liquid-foundation-models

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