LLM Reference

Samba-1 Models by SambaNova Systems

3 models2024

About

Samba-1 is SambaNova's pioneering Composition of Experts (CoE) model, featuring a unique architecture that integrates multiple smaller, specialized models into one formidable system 567. Unlike traditional monolithic large language models (LLMs), Samba-1 uses this innovative approach to amass over 1 trillion parameters, combining the expansive knowledge and precision of large models with the efficiency and manageability of smaller ones 3710. The CoE structure enables modular fine-tuning, permitting enterprises to adapt Samba-1 with their proprietary data while ensuring data privacy and security 3712. Comprising over 50 models that span various domains and more than 30 languages, Samba-1 enhances inference efficiency by activating only the necessary expert models for a given prompt, significantly reducing costs compared to conventional LLMs 78. This makes it exceptionally suited for enterprise applications, addressing challenges related to cost, complexity, security, and regulatory compliance 37.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

3 in view
Samba-1Current

Use when provider availability and model metadata match the workload.

2024-09

Use when provider availability and model metadata match the workload.

2024-09

Use when provider availability and model metadata match the workload.

2024-09

Release Timeline

1 release group
2024-09
3 current

Specifications(3 models)

Samba-1 model specifications comparison
ModelReleasedParameters
Samba-12024-091T
Samba-1 Instruct2024-09
Samba-1 Chat2024-09

Frequently Asked Questions

What is Samba-1 used for?
Samba-1 is SambaNova's pioneering Composition of Experts (CoE) model, featuring a unique architecture that integrates multiple smaller, specialized models into one formidable system 567.
How does Samba-1 compare to Claude 3?
Samba-1 by SambaNova Systems is strongest where you need its listed use cases, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. Samba-1 has 3 listed variants, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
Which Samba-1 model should I use?
If price is the main constraint, use the pricing table first because Samba-1 does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Samba-1.

Models(3)