Overview

- Deploy powerful AI anywhere by running efficient, small-scale models like Mistral 7B on any cloud platform or even consumer gaming GPUs
- Customize every aspect of the model for your specific use case with full access to open-source weights and code, without sharing your data
- Solve complex problems with AI that understands and generates code naturally, thanks to models built with strong coding abilities
- Contribute to and benefit from open science through liberal licenses that encourage community participation and collaborative development
Pros & Cons
Pros
- Open-source models
- Emphasis on compute efficiency
- Utility and trustworthiness
- Small yet powerful model
- Remarkable adaptability
- Natural coding abilities
- Tools comes with weights and sources
- Maximized customization
- No user data required
- Open science principle
- Community participation encouraged
- Liberal licenses for products
- Cloud compatible
- Gaming GPU compatible
- High scientific standards
- Strong research focused team
- Dynamic business mindset
- Model utility and adaptability
- Tackles challenging problems
- Doesn't need user data
- Committed to open models
- Release products under permissive licenses
- Encourages user contributions
- Better benchmark performance
- 8k sequence length
- Easy to deploy on any cloud
- Works on gaming GPUs
- Creative and scientific team
- Fast-paced business mindset
- Promotes open models longevity
- Small, powerful, adaptable model
- Full customization of the products
Cons
- No dedicated customer support
- Requires manual customization
- No built-in hosting
- Less suitable for non-tech individuals
- Possible performance issues on weaker GPUs
- Lower performance compared to larger models
- Relies on user community for developments
- Open-source could compromise product security
- Lack of well-documented use cases
- Potentially complicated deployment process
Reviews
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Pricing
Pricing model
Freemium
Paid options from
$14.99
Billing frequency
One-time
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