Specification

Release date: 20 Nov 2024
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Openness: open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
License: apple-amlr
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Architecture: Aimv2Model
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Parameters: 436.7M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Quantization format: mlx
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
File size: 1.8 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Hugging Face repo: apple/aimv2-large-patch14-224-lit
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Pipeline tag: zero-shot-image-classification
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Model card: huggingface.co/apple/aimv2-large-patch14-224-lit
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads: 33,583
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Likes: 9
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Gated: No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Is quantized: Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Last modified: 2025-07-08T16:30:26+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Library name: transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads all time: 96,414
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Model type: aimv2
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Tags: transformers, jax, safetensors, aimv2, feature-extraction, vision, mlx, pytorch, zero-shot-image-classification, custom_code
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Weights dtype: F32
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 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

20

Source tiers

T220

Freshest observation

1 h 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
Apple M3 Ultra	4bit	—	0.8 GB	Yes
AMD Instinct MI325X	4bit	256 GB	0.8 GB	Yes
AMD Instinct MI300X	4bit	192 GB	0.8 GB	Yes
Apple M2 Ultra	4bit	—	0.8 GB	Yes
NVIDIA B200	4bit	180 GB	0.8 GB	Yes
NVIDIA H200	4bit	141 GB	0.8 GB	Yes
Apple M1 Ultra	4bit	—	0.8 GB	Yes
Apple M3 Max	4bit	—	0.8 GB	Yes
Apple M4 Max	4bit	—	0.8 GB	Yes
NVIDIA DGX Spark	4bit	128 GB	0.8 GB	Yes
Apple M2 Max	4bit	—	0.8 GB	Yes
NVIDIA A100 80GB	4bit	80 GB	0.8 GB	Yes
NVIDIA H100 SXM	4bit	80 GB	0.8 GB	Yes
Apple M1 Max	4bit	—	0.8 GB	Yes
Apple M4 Pro	4bit	—	0.8 GB	Yes
Apple M3 Pro	4bit	—	0.8 GB	Yes
Apple M1 Pro	4bit	—	0.8 GB	Yes
Apple M2 Pro	4bit	—	0.8 GB	Yes
Apple M4	4bit	—	0.8 GB	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	0.8 GB	Yes
Apple M2	4bit	—	0.8 GB	Yes
Apple M3	4bit	—	0.8 GB	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	0.8 GB	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	0.8 GB	Yes
Apple M1	4bit	—	0.8 GB	Yes

No lineage recorded

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

Papers 1

arXiv:2411.14402Active
35

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 · Last modified

1 claims · 1 propertiesShow all properties

Last modifiedlast_modified1

Claim history for Last modified
Value	Valid from → to	Status	Source	Confidence	Extractor
2025-07-08T16:30:26+00:00	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 modelModelaimv2-large-patch14-224-litApple
New model: aimv2-large-patch14-224-lit (Apple)
huggingface
huggingface.co

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/apple/aimv2-large-patch14-224-lit/raw/main/README.md	model_card	T2· Quality secondary	18 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/apple/aimv2-large-patch14-224-lit	model_page	T2· Quality secondary	1 h ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=apple&p=0&sort=downloads	listing	T2· Quality secondary	1 h ago	2

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