Samantha
by Eric Hartford
Companion-focused model trained for empathetic conversation.
Quick Facts
- Model Size
- 70B
- Context Length
- 4K tokens
- Release Date
- Jul 2023
- License
- LLaMA 2 License
- Provider
- Eric Hartford
- KYI Score
- 7.8/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 70B
- Context Length
- 4K tokens
- License
- LLaMA 2 License
- Pricing
- free
- Release Date
- July 28, 2023
- Category
- llm
Key Features
Pros & Cons
Pros
- ✓Very empathetic
- ✓Natural conversation
- ✓Companion-like
Cons
- !Restrictive license
- !Specialized focus
- !May be too agreeable
Ideal Use Cases
Companionship
Emotional support
Conversation
Roleplay
Samantha FAQ
What is Samantha best used for?
Samantha excels at Companionship, Emotional support, Conversation. Very empathetic, making it ideal for production applications requiring llm capabilities.
How does Samantha compare to other models?
Samantha has a KYI score of 7.8/10, with 70B parameters. It offers very empathetic and natural conversation. Check our comparison pages for detailed benchmarks.
What are the system requirements for Samantha?
Samantha with 70B requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 4K tokens.
Is Samantha free to use?
Yes, Samantha is free and licensed under LLaMA 2 License. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
Related Models
LLaMA 3.1 405B
9.4/10Meta's largest and most capable open-source language model with 405 billion parameters, offering state-of-the-art performance across reasoning, coding, and multilingual tasks.
LLaMA 3.1 70B
9.1/10A powerful 70B parameter model that balances performance and efficiency, ideal for production deployments requiring high-quality outputs.
BGE M3
9.1/10Multi-lingual, multi-functionality, multi-granularity embedding model.