Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    41 Ratings
    Company Website
  • Coursebox AI Reviews & Ratings
    101 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    715 Ratings
    Company Website
  • myACI Reviews & Ratings
    481 Ratings
    Company Website
  • RealEstateAPI (REAPI) Reviews & Ratings
    58 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,027 Ratings
    Company Website
  • QEval Reviews & Ratings
    30 Ratings
    Company Website

What is Olmo 2?

OLMo 2 is a suite of fully open language models developed by the Allen Institute for AI (AI2), designed to provide researchers and developers with straightforward access to training datasets, open-source code, reproducible training methods, and extensive evaluations. These models are trained on a remarkable dataset consisting of up to 5 trillion tokens and are competitive with leading open-weight models such as Llama 3.1, especially in English academic assessments. A significant emphasis of OLMo 2 lies in maintaining training stability, utilizing techniques to reduce loss spikes during prolonged training sessions, and implementing staged training interventions to address capability weaknesses in the later phases of pretraining. Furthermore, the models incorporate advanced post-training methodologies inspired by AI2's Tülu 3, resulting in the creation of OLMo 2-Instruct models. To support continuous enhancements during the development lifecycle, an actionable evaluation framework called the Open Language Modeling Evaluation System (OLMES) has been established, featuring 20 benchmarks that assess vital capabilities. This thorough methodology not only promotes transparency but also actively encourages improvements in the performance of language models, ensuring they remain at the forefront of AI advancements. Ultimately, OLMo 2 aims to empower the research community by providing resources that foster innovation and collaboration in language modeling.

What is LFM3?

LFM3 showcases Liquid AI's collection of versatile, open-weight foundational models tailored for a diverse range of applications, spanning text, vision, audio, and multimodal functionalities. This array includes specialized versions for generating text, processing vision-language tasks, handling audio, addressing omni tasks, and facilitating decision-making processes. Developers can choose to download the model weights for customization through fine-tuning and deploy them on local edge devices, or they may opt for Liquid AI’s hosted API for seamless access. The potential uses for these models are extensive, including conversational agents, invoking tools, transcribing and synthesizing speech, interpreting images and videos, extracting and classifying documents, routing information, and enabling robotics capabilities. LFM3 is designed to meet the needs of developers, researchers, and organizations aiming to build customized AI solutions that prioritize adaptable deployment options, including support for on-premises inference. Additionally, these open-weight models are governed by Liquid AI’s LFM Open License, which stipulates the eligibility for commercial use and its specific terms based on the annual revenue of the organization. This level of flexibility empowers users to precisely customize their AI implementations to suit their specific requirements, thereby significantly enhancing the overall functionality and effectiveness of the models. Moreover, with the rapid advancements in AI, having such adaptable tools is crucial for staying competitive in the ever-evolving technological landscape.

Media

Media

Integrations Supported

Molmo 2

Integrations Supported

Hugging Face
Hugging Face Transformers
LM Studio
Ollama
OpenRouter
Unsloth
Vercel AI Gateway
vLLM

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.08/MTok
LFM3-1.7B API usage is $0.08 per million input tokens, $0.02 per million cached input tokens, and $0.20 per million output tokens. New organizations receive $2 in API credit. Open-weight models can be used in production free by developers, researchers, nonprofits, and businesses with less than $10 million in annual revenue; businesses above that threshold require a paid license.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Ai2

Date Founded

2014

Company Location

United States

Company Website

allenai.org/blog/olmo2

Company Facts

Organization Name

Liquid AI

Date Founded

2023

Company Location

United States

Company Website

www.liquid.ai/blog/lfm3

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Multimodal Models

Not specified

Open-Weight AI Models

Not specified

Popular Alternatives

Molmo Reviews & Ratings

Molmo

Ai2

Popular Alternatives

Gemma 4 Reviews & Ratings

Gemma 4

Google
Olmo 3 Reviews & Ratings

Olmo 3

Ai2
LFM2.5 Reviews & Ratings

LFM2.5

Liquid AI
Qwen3.5 Reviews & Ratings

Qwen3.5

Alibaba
GLM-5 Reviews & Ratings

GLM-5

Z.ai
Inkling Reviews & Ratings

Inkling

Thinking Machines Lab