Enterprise · framework

Use Jamba 1.5 Large with LlamaIndex

Updated 2026-05-21 · By XALEN

How to use Jamba 1.5 Large (Enterprise, 398B (94B active)) with LlamaIndex. Install, authenticate, and make your first API call in minutes. Working code example included.

Model

Jamba 1.5 Large

398B (94B active) · 256K context · $0.08 input

Framework

LlamaIndex

framework · pip install llama-index-llms-openai-like

1. Install

pip install llama-index-llms-openai-like

2. Code

from llama_index.llms.openai_like import OpenAILike

llm = OpenAILike(
    model="jamba-1-5-large",
    api_key="xln_test_YOUR_KEY",
    api_base="https://api.xalen.io/v1"
)

response = llm.complete("Explain Jamba 1.5 Large")
print(response.text)

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Last updated: 2026-05-21