Jamba 1.5 Mini

About Jamba 1.5 Mini

Jamba 1.5 Mini is AI21's efficient hybrid model, bringing the benefits of the Jamba architecture to resource-constrained deployments. With its Transformer-Mamba hybrid design, it processes long contexts efficiently while maintaining a practical parameter count. The model features a substantial context window and excels at tasks requiring extended context without the compute costs of larger models. Jamba 1.5 Mini demonstrates strong performance on general language tasks while offering unique efficiency advantages for long-context applications. Its architecture enables cost-effective processing of lengthy documents and extended conversations. For developers seeking long-context capability without premium pricing, Jamba 1.5 Mini provides accessible entry to AI21's innovative architecture. It's particularly valuable for document analysis, research assistance, and applications where context length matters but resources are limited.

Model Specifications

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🚀 Quick Start

Get started with Jamba 1.5 Mini API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="ai21/jamba-1-5-mini",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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