LFM-3B

LFM-3B

Liquid AI
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About

LFM-3B delivers incredible performance for its size. It positions itself as first place among 3B parameter transformers, hybrids, and RNN models, but also outperforms the previous generation of 7B and 13B models. It is also on par with Phi-3.5-mini on multiple benchmarks, while being 18.4% smaller. LFM-3B is the ideal choice for mobile and other edge text-based applications.

About

OpenAI o1-mini is a new, cost-effective AI model designed for enhanced reasoning, particularly excelling in STEM fields like mathematics and coding. It's part of the o1 series, which focuses on solving complex problems by spending more time "thinking" through solutions. Despite being smaller and 80% cheaper than its sibling, the o1-preview, o1-mini performs competitively in coding tasks and mathematical reasoning, making it an accessible option for developers and enterprises looking for efficient AI solutions.

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

Users interested in a powerful non-transformer based 3B parameter model

Audience

Users interested in a powerful but cost-effective AI model with enhanced reasoning skills

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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • I've been using OpenAI's o1-mini model, and it's impressive how it handles complex reasoning tasks, especially in mathematics and coding. Despite being a more compact version, it maintains strong performance, making it a cost-effective choice for developers. The model's design focuses on spending more time "thinking" through problems, which enhances its problem-solving capabilities.

Cons

  • While o1-mini is efficient, its smaller size means it may not have the broad world knowledge that larger models possess. Additionally, it might require some fine-tuning to align with specific project needs.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Liquid AI
United States
www.liquid.ai/liquid-foundation-models

Company Information

OpenAI
Founded: 2015
United States
openai.com

Alternatives

Phi-2

Phi-2

Microsoft

Alternatives

Llama

Llama

Meta
GPT-4o

GPT-4o

OpenAI
Mistral 7B

Mistral 7B

Mistral AI

Categories

Categories

Integrations

C
CSS
ChatGPT
ChatGPT Enterprise
ChatGPT Plus
DataChain
Evertune
Go
HTML
Microsoft Foundry Agent Service
OmniGPT
PHP
Qodo
R
Requesty
Ruby
SQL
Sider
Visual Basic

Integrations

C
CSS
ChatGPT
ChatGPT Enterprise
ChatGPT Plus
DataChain
Evertune
Go
HTML
Microsoft Foundry Agent Service
OmniGPT
PHP
Qodo
R
Requesty
Ruby
SQL
Sider
Visual Basic
Claim LFM-3B and update features and information
Claim LFM-3B and update features and information
Claim OpenAI o1-mini and update features and information
Claim OpenAI o1-mini and update features and information