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Average Ratings 0 Ratings

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ease
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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AiAssistWorks
Clojure
Elixir
F#
Gemma
Google AI Studio
HTML
Java
JavaScript
Kaggle
LM-Kit.NET
LangChain
Molmo
NVIDIA DRIVE
Nebius Token Factory
Pipeshift
Python
Ruby
SQL
TensorFlow

Integrations

AiAssistWorks
Clojure
Elixir
F#
Gemma
Google AI Studio
HTML
Java
JavaScript
Kaggle
LM-Kit.NET
LangChain
Molmo
NVIDIA DRIVE
Nebius Token Factory
Pipeshift
Python
Ruby
SQL
TensorFlow

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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

Product Features

Product Features

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Alternatives

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