What is Jais used for?

Jais is used for coding and chatbot and role-playing use cases. The family description and listed model capabilities point to those workloads as the best fit.

How does Jais compare to MOSS-Audio?

Jais by Core42 is strongest where you need coding, while MOSS-Audio by MOSI Intelligence is the closest related family to check for multimodal. Jais has 2 listed variants and reaches up to 2k context, so compare the specs and pricing tables before choosing a production model.

Which Jais model should I use?

For the lowest listed input price, start with Jais 13B through IBM watsonx at $1.8/1M input tokens. For the most capable/latest local choice, evaluate Jais 30B with 2k context.

Jais Models by Core42

Core42Apache 2.0Open Source

2 models2023Up to 2k ctxFrom $1.8/1M input

About

The Jais family of large language models (LLMs) is a groundbreaking development in the realm of Arabic natural language processing (NLP), created collaboratively by Inception and Cerebras Systems. This family consists of bilingual English-Arabic LLMs designed for exceptional performance in Arabic, while retaining robust English capabilities. Spanning models from 590 million to a remarkable 70 billion parameters, they address various computational needs. Trained on a vast dataset comprising Arabic, English, and code data amounting to 1.6 trillion tokens, the Jais models come in two variants: pre-trained from scratch or adaptively pre-trained from Llama-2. Both types are instruction-fine-tuned for dialogue, rendering them ideal for applications like chatbots and other conversational AI systems. By aiming to accelerate Arabic NLP research, these models offer immense potential for Arabic-speaking and bilingual communities, furnishing numerous downstream applications. 1 2 3

Current Variants

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

2 in view

Jais 30BCurrent

Use when the workload needs 2k context and 30B parameters.

2023-102k context30B parameters

Jais 13BCurrent

Use when the workload needs 2k context and 13B parameters.

2023-102k context13B parameters

Current Jais variants with use-when guidance and lifecycle status
Model	Use when	Released	Signals	Status
Jais 30B	Use when the workload needs 2k context and 30B parameters.	2023-10	2k context30B parameters	Current
Jais 13B	Use when the workload needs 2k context and 13B parameters.	2023-10	2k context13B parameters	Current

Release Timeline

1 release group

2023-10

2 current

Jais 13B

2k context13B parameters

Current

Jais 30B

2k context30B parameters

Current

Specifications(2 models)

Jais model specifications comparison
Model	Released	Context	Parameters
Jais 30B	2023-10	2k	30B
Jais 13B	2023-10	2k	13B

Available From(2 providers)

IBM watsonx

Microsoft Foundry

Pricing

Jais model pricing by provider
Model	Provider	Input / 1M	Output / 1M	Type
Jais 13B	IBM watsonx	$1.8	$1.8	Serverless
Jais 30B	Microsoft Foundry	$3.2	$9.71	Serverless

Frequently Asked Questions

What is Jais used for?: Jais is used for coding and chatbot and role-playing use cases. The family description and listed model capabilities point to those workloads as the best fit.
How does Jais compare to MOSS-Audio?: Jais by Core42 is strongest where you need coding, while MOSS-Audio by MOSI Intelligence is the closest related family to check for multimodal. Jais has 2 listed variants and reaches up to 2k context, so compare the specs and pricing tables before choosing a production model.
Which Jais model should I use?: For the lowest listed input price, start with Jais 13B through IBM watsonx at $1.8/1M input tokens. For the most capable/latest local choice, evaluate Jais 30B with 2k context.