Specification

Release date: 27 Feb 2025
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Openness: restricted
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
License: other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Architecture: JambaForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Parameters: 398.6B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
File size: 797.1 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Hugging Face repo: ai21labs/AI21-Jamba-Large-1.6
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Pipeline tag: text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Model card: huggingface.co/ai21labs/AI21-Jamba-Large-1.6
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Downloads: 34
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 58 min agomedium
Likes: 73
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 58 min agomedium
Gated: auto
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Last modified: 2026-02-02T11:32:50+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Library name: transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
License url: https://huggingface.co/ai21labs/AI21-Jamba-Large-1.6/blob/main/LICENSE.txt
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Downloads all time: 36,385
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 58 min agomedium
Model type: jamba
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Tags: transformers, safetensors, jamba, text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium
Weights dtype: BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 3 h agomedium

Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →

Provenance

Attributed facts

19

Source tiers

T219

Freshest observation

58 min ago

Conflicts

None

Modalities

Modalities unavailable.

Capabilities

Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable

No capability flags have been observed from a source yet — we do not infer them.

No structured attributes yet.

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Current prices

No current prices recorded

Prices appear when a provider publishes a public pricing page we crawl.

Price history

Estimated

Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.

Estimated hardware fit
Hardware	Quantization	Memory	Est. need	Fits
NVIDIA DGX B200	4bit	1,440 GB	229.7 GB	Yes
Apple M3 Ultra	4bit	—	229.7 GB	Yes
Mac Studio (Apple M5 Ultra)	4bit	—	229.7 GB	Yes
AMD Instinct MI325X	4bit	256 GB	229.7 GB	Yes
AMD Instinct MI300X	4bit	192 GB	229.7 GB	No
Apple M2 Ultra	4bit	—	229.7 GB	No
NVIDIA B200	4bit	180 GB	229.7 GB	No
NVIDIA H200	4bit	141 GB	229.7 GB	No
NVIDIA H200 NVL	4bit	141 GB	229.7 GB	No
Apple M1 Ultra	4bit	—	229.7 GB	No
Apple M3 Max	4bit	—	229.7 GB	No
Apple M4 Max	4bit	—	229.7 GB	No
Mac Studio (Apple M5 Max)	4bit	—	229.7 GB	No
MacBook Pro (Apple M5 Max)	4bit	—	229.7 GB	No
NVIDIA DGX Spark	4bit	128 GB	229.7 GB	No
Apple M2 Max	4bit	—	229.7 GB	No
NVIDIA H100 NVL	4bit	94 GB	229.7 GB	No
NVIDIA A100 80GB	4bit	80 GB	229.7 GB	No
NVIDIA H100 SXM	4bit	80 GB	229.7 GB	No
Apple M1 Max	4bit	—	229.7 GB	No
Apple M4 Pro	4bit	—	229.7 GB	No
Mac mini (Apple M5 Pro)	4bit	—	229.7 GB	No
MacBook Pro (Apple M5 Pro)	4bit	—	229.7 GB	No
Apple M3 Pro	4bit	—	229.7 GB	No
Apple M1 Pro	4bit	—	229.7 GB	No
Apple M2 Pro	4bit	—	229.7 GB	No
Apple M4	4bit	—	229.7 GB	No
iMac (Apple M4)	4bit	—	229.7 GB	No
Mac mini (Apple M6)	4bit	—	229.7 GB	No
MacBook Air (Apple M5)	4bit	—	229.7 GB	No
MacBook Pro (Apple M5)	4bit	—	229.7 GB	No
NVIDIA GeForce RTX 5090	4bit	32 GB	229.7 GB	No
Apple M2	4bit	—	229.7 GB	No
Apple M3	4bit	—	229.7 GB	No
NVIDIA GeForce RTX 3090	4bit	24 GB	229.7 GB	No
NVIDIA GeForce RTX 4090	4bit	24 GB	229.7 GB	No
Apple M1	4bit	—	229.7 GB	No

No lineage recorded

Lineage comes from explicit `derived_from`, `fine_tuned_from`, `distilled_from` and `quantized_from` relations stated by sources.

Papers 0

No papers linked yet.

Repositories 0

No repositories linked yet.

As of

Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.

Claim history · Model card

1 claims · 1 propertiesShow all properties

Model cardmodel_card_url1

Claim history for Model card
Value	Valid from → to	Status	Source	Confidence	Extractor
https://huggingface.co/ai21labs/AI21-Jamba-Large-1.6	11 Sept 2026 21:10 UTC → current	current	Hugging Face Hub (public pages, model cards, papers)T2	medium	deterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

11 Sept 2026
New modelModelAI21-Jamba-Large-1.6AI21 Labs
New model: AI21-Jamba-Large-1.6 (AI21 Labs)
huggingface
huggingface.co

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/ai21labs/AI21-Jamba-Large-1.6	model_page	T2· Quality secondary	58 min ago	3
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=ai21labs&p=0&sort=downloads	listing	T2· Quality secondary	1 h ago	3

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.