Specification

Release date: 12 Dec 2022
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Openness: open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
License: bsd-3-clause
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Architecture: BlipForQuestionAnswering
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Parameters: 384.7M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
File size: 1.5 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Hugging Face repo: Salesforce/blip-vqa-base
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Pipeline tag: visual-question-answering
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Model card: huggingface.co/Salesforce/blip-vqa-base
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads: 663,077
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Likes: 195
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Gated: No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Last modified: 2025-02-03T06:44:34+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 32 min agomedium
Downloads all time: 14,208,737
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Model type: blip
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Tags: transformers, pytorch, tf, safetensors, blip, visual-question-answering
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min agomedium
Weights dtype: F32, I64
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 32 min 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

18

Source tiers

T218

Freshest observation

32 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
Apple M3 Ultra	4bit	—	0.7 GB	Yes
AMD Instinct MI325X	4bit	256 GB	0.7 GB	Yes
AMD Instinct MI300X	4bit	192 GB	0.7 GB	Yes
Apple M2 Ultra	4bit	—	0.7 GB	Yes
NVIDIA B200	4bit	180 GB	0.7 GB	Yes
NVIDIA H200	4bit	141 GB	0.7 GB	Yes
Apple M1 Ultra	4bit	—	0.7 GB	Yes
Apple M3 Max	4bit	—	0.7 GB	Yes
Apple M4 Max	4bit	—	0.7 GB	Yes
NVIDIA DGX Spark	4bit	128 GB	0.7 GB	Yes
Apple M2 Max	4bit	—	0.7 GB	Yes
NVIDIA A100 80GB	4bit	80 GB	0.7 GB	Yes
NVIDIA H100 SXM	4bit	80 GB	0.7 GB	Yes
Apple M1 Max	4bit	—	0.7 GB	Yes
Apple M4 Pro	4bit	—	0.7 GB	Yes
Apple M3 Pro	4bit	—	0.7 GB	Yes
Apple M1 Pro	4bit	—	0.7 GB	Yes
Apple M2 Pro	4bit	—	0.7 GB	Yes
Apple M4	4bit	—	0.7 GB	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	0.7 GB	Yes
Apple M2	4bit	—	0.7 GB	Yes
Apple M3	4bit	—	0.7 GB	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	0.7 GB	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	0.7 GB	Yes
Apple M1	4bit	—	0.7 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:2201.12086Active

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/Salesforce/blip-vqa-base	11 Sept 2026 21:11 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 modelModelblip-vqa-baseSalesforce
New model: blip-vqa-base (Salesforce)
huggingface
huggingface.co

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/Salesforce/blip-vqa-base/raw/main/README.md	model_card	T2· Quality secondary	1 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/Salesforce/blip-vqa-base	model_page	T2· Quality secondary	32 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=Salesforce&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.