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Jamba 1.5: 256K context and inference evaluation

On August 22, 2024, AI21 Labs announced the Jamba 1.5 Mini and Large models, combining Mamba and Joint Attention, with a 256K-token context window and features including ExpertInt8 and JSON output.

By Wendelmaques ·

Source: AI21 lança Jamba 1.5 Mini e Large (x.com). Text prepared with AI from this source.

What happened and what to do

On August 22, 2024, AI21 Labs announced the Jamba 1.5 Mini and Large models. According to the post, they combine Mamba and Joint Attention, offer a 256K-token context window, and include ExpertInt8 quantization, JSON mode, tool use, and Transformers integration.

A company evaluating language-model inference can implement a proof of concept to measure quality, latency, memory use, and cost on real tasks. It can also test JSON output and tool calls, then define monitoring and security criteria for operation. Model and configuration choices should be based on those results.

How the consultancy can help

Wendelmaques can assess inference requirements and use cases, scope an evaluation, and implement the proof of concept, tests, and monitoring on the company's infrastructure. The proposal can include the operation required after deployment.

Next step

Send a short description of your use case and infrastructure requirements to receive a scoped proposal.

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