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What is Llama?

Llama, a leading-edge foundational large language model developed by Meta AI, is designed to assist researchers in expanding the frontiers of artificial intelligence research. By offering streamlined yet powerful models like Llama, even those with limited resources can access advanced tools, thereby enhancing inclusivity in this fast-paced and ever-evolving field. The development of more compact foundational models, such as Llama, proves beneficial in the realm of large language models since they require considerably less computational power and resources, which allows for the exploration of novel approaches, validation of existing studies, and examination of potential new applications. These models harness vast amounts of unlabeled data, rendering them particularly effective for fine-tuning across diverse tasks. We are introducing Llama in various sizes, including 7B, 13B, 33B, and 65B parameters, each supported by a comprehensive model card that details our development methodology while maintaining our dedication to Responsible AI practices. By providing these resources, we seek to empower a wider array of researchers to actively participate in and drive forward the developments in the field of AI. Ultimately, our goal is to foster an environment where innovation thrives and collaboration flourishes.

What is LFM-3B?

LFM-3B stands out for its exceptional performance given its smaller dimensions, solidifying its lead among 3 billion parameter models, hybrids, and RNNs, and even outpacing previous generations of 7 billion and 13 billion parameter models. Moreover, it achieves results comparable to Phi-3.5-mini on numerous benchmarks, despite being 18.4% more compact. This remarkable efficiency and effectiveness make LFM-3B an ideal choice for mobile applications and various edge-based text processing tasks, demonstrating its adaptability across multiple environments. Its impressive capabilities indicate a significant advancement in model design, making it a frontrunner in contemporary AI solutions.

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Integrations Supported

Mirai
Agenta
AiAssistWorks
AnyAPI
Atomic Chat
Axolotl
Code Llama
Decompute Blackbird
EaseMate AI
Eldil AI
Llama 4 Behemoth
Llama Guard
Lorelight
Mavvrik
MindMac
PromptSignal
Singulr
Unsloth
Waveloom
kluster.ai

Integrations Supported

Mirai

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Meta

Date Founded

2004

Company Location

United States

Company Website

www.llama.com

Company Facts

Organization Name

Liquid AI

Company Location

United States

Company Website

www.liquid.ai/liquid-foundation-models

Categories and Features

AI Models

Not specified

Embedding Models

Not specified

Foundation Models

Not specified

Generative AI

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

Categories and Features

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Small Language Models

Not specified

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