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AI21 Labs · Official-source model record

AI21-Jamba-Large-1.7

Jamba

AvailableChecked Oct 23, 2026
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Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about AI21-Jamba-Large-1.7

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

Which AI21-Jamba-Large-1.7 does this page describe?

AI21-Jamba-Large-1.7 is a model record from AI21 Labs in the Jamba family. Source

A separate version identifier is not documented in this record; the model name alone does not establish which snapshot a service runs.

How can you access AI21-Jamba-Large-1.7?

The catalog documents API and Open weights access for AI21-Jamba-Large-1.7. Source

As of the catalog check, this version was listed as available. Source

For API use, confirm the exact model identifier, your account and region, and the endpoint's current limits in the linked documentation. An API listing does not establish access through a consumer subscription.

Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement. This record documents API access separately.

What are AI21-Jamba-Large-1.7's context and output limits?

The documented context window is 256,000 tokens. Source

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What dates are documented for AI21-Jamba-Large-1.7?

Knowledge cutoff: August 22, 2024. Source This labels the documented knowledge boundary; it is not a promise that every earlier fact is known or correct. The source labels this “Knowledge cutoff date: August 22, 2024.”

Retrieval or web tools can supply newer information at run time. That does not change the model's recorded training or knowledge dates, and this record does not establish that a particular endpoint includes those tools.

What license is recorded for AI21-Jamba-Large-1.7?

The recorded license label is jamba-open-model-license. Source

Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.

What distinguishes AI21-Jamba-Large-1.7?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Hybrid architecture
Joint Attention and Mamba hybrid with a documented 256K context window; 1.7 emphasizes grounding and instruction following. Source
Supported languages
Supports English, Spanish, French, Portuguese, Italian, Dutch, German, Arabic and Hebrew. Source
Nominal active and total parameters
94 billion active parameters and 398 billion total parameters, as reported by AI21. Source
Deployment requirements
Publisher recommends ExpertsInt8 quantization to deploy on 8×80GB GPUs; its default example supports 220K-token prompts, distinct from the model’s 256K context. Source

What is documented about the AI21-Jamba-Large-1.7 checkpoint?

This evidence refers to ai21labs/AI21-Jamba-Large-1.7 at recorded revision f95d1c3c9ac9028a9306e717047b5515e73c1dd1, checked October 23, 2026. Repository metadata

Safetensors metadata records 398,555,145,696 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata

Recorded architecture class: JambaForCausalLM. Repository metadata

Repository access gate: auto. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata

Read the retrieved model card for setup and qualifications. Model card

Keep the exact version in view

Other Jamba models from AI21 Labs.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

AI21-Jamba2-3B

Open weights · 256,000 context tokens

AI21-Jamba2-Mini

API · Open weights · 256,000 context tokens

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher
AI21 LabsSource ↗
Family
JambaSource ↗
Version
Not documented
Availability
AvailableSource ↗
Access
API · Open weightsSource ↗
Inputs
Not documented
Outputs
Not documented
Context window
256,000 tokensSource ↗
Maximum input
Not documented
Maximum output
Not documented
Knowledge cutoff
Aug 22, 2024Knowledge cutoff date: August 22, 2024 · day precisionSource ↗
Training-data cutoff
Not documented
Training completed
Not documented
Release date
Not documented
License
jamba-open-model-licenseSource ↗
Input price / 1M tokens
Not documented
Output price / 1M tokens
Not documented

Read this with the numbers.

Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. The model card could not be retrieved anonymously; only public publisher metadata was used. Remaining fields need verification. API lifecycle is separate from downloadable weights. The shared vendor overview gives inconsistent knowledge/training recency statements, so no family-wide cutoff is copied into this version. Publisher repository evidence (2026-10-23): Published architecture metadata: JambaForCausalLM. Published safetensors metadata counts 398,555,145,696 stored parameters; this is not an active-parameter count for mixture-of-experts models. Repository access metadata is auto; access gating does not establish license permissions.

Model identifiers and aliases 2
  • ai21labs/AI21-Jamba-Large-1.7
  • jamba-large-1.7-2025-07

Follow the evidence

Official sources.

  1. Jamba foundation models ↗docs.ai21.com
  2. AI21-Jamba-Large-1.7 — official model card ↗huggingface.co
  3. AI21-Jamba-Large-1.7: official publisher repository metadata ↗huggingface.co
  4. AI21-Jamba-Large-1.7: publisher model card at pinned revision ↗huggingface.co

From the Headless Thrones newsroom

Editorial about AI21-Jamba-Large-1.7

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

AI21-Jamba-Large-1.7

AI21 Labs · API / Open weights

Inputs
Not documented
Outputs
Not documented
Context window
256,000 tokensSource ↗
Knowledge cutoff
Aug 22, 2024Knowledge cutoff date: August 22, 2024 · day precisionSource ↗

A place to begin comparing

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Matches must share an access route, support every documented input type of your starting model, and return text. When both publish a context limit in the same field, the candidate must fall between half and twice that limit. Unknown or differently defined limits remain as broader matches, after verified near-context matches. Within each group, recent documented releases appear first. These criteria do not establish equal quality. The full current inventory is considered.

No candidate meets the documented access, input/output and context criteria. You can still choose models manually in the comparison tool.

A record you can follow

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Official sources

Model records cite the developer’s documentation, release notes and model cards. A listing alone is not a tested service or a recommendation.

Dates mean different things

Knowledge cutoff, training-data cutoff, training completion and release date are separate fields. A model’s name or repository upload date does not establish any of them.

Limits need context

Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

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