CodeGemma

CodeGemma

Google
LFM2

LFM2

Liquid AI
+
+

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About

CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time.

About

LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations.

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

Individuals wanting a solution to generate code and optimize their coding tasks

Audience

Developers and engineering teams needing a solution offering foundation models without reliance on cloud infrastructure

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

No information available.
Free Version
Free Trial

Pricing

No information available.
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

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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

Google
United States
ai.google.dev/gemma/docs/codegemma

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models

Alternatives

Codestral Mamba

Codestral Mamba

Mistral AI

Alternatives

Ministral 8B

Ministral 8B

Mistral AI
Seed2.0 Lite

Seed2.0 Lite

ByteDance
MedGemma

MedGemma

Google DeepMind
Ministral 3B

Ministral 3B

Mistral AI
Gemma 2

Gemma 2

Google
Gemma 2

Gemma 2

Google

Categories

Categories

Integrations

C
C#
C++
CSS
Elixir
F#
GaiaNet
Go
Google Cloud Platform
Hugging Face
Java
Kotlin
OpenAI
OpenRouter
Qwen3
Rust
SQL
Scala
Together AI
TypeScript

Integrations

C
C#
C++
CSS
Elixir
F#
GaiaNet
Go
Google Cloud Platform
Hugging Face
Java
Kotlin
OpenAI
OpenRouter
Qwen3
Rust
SQL
Scala
Together AI
TypeScript
Claim CodeGemma and update features and information
Claim CodeGemma and update features and information
Claim LFM2 and update features and information
Claim LFM2 and update features and information