Specification

Release date: 5 Jan 2026
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Openness: open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
License: other
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Architecture: Lfm2VlForConditionalGeneration
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Parameters: 1.6B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Languages: en, ja, ko, fr, es, de, ar, zh
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Base model: LiquidAI/LFM2.5-1.2B-Base
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
File size: 3.2 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Hugging Face repo: LiquidAI/LFM2.5-VL-1.6B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Pipeline tag: image-text-to-text
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Model card: huggingface.co/LiquidAI/LFM2.5-VL-1.6B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 h agomedium
Downloads: 227,962
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Likes: 327
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Gated: No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Last modified: 2026-03-30T11:10:42+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 39 min agomedium
License url: LICENSE
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Downloads all time: 913,577
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Model type: lfm2_vl
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Tags: transformers, safetensors, lfm2_vl, image-text-to-text, liquid, lfm2, lfm2-vl, edge, lfm2.5-vl, lfm2.5, en, ja, ko, fr, es, de, ar, zh
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium
Weights dtype: BF16
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 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

21

Source tiers

T221

Freshest observation

39 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.

Languages: en, ja, ko, fr, es, de, ar, zh
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 39 min agomedium

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	—	1.4 GB	Yes
AMD Instinct MI325X	4bit	256 GB	1.4 GB	Yes
AMD Instinct MI300X	4bit	192 GB	1.4 GB	Yes
Apple M2 Ultra	4bit	—	1.4 GB	Yes
NVIDIA B200	4bit	180 GB	1.4 GB	Yes
NVIDIA H200	4bit	141 GB	1.4 GB	Yes
Apple M1 Ultra	4bit	—	1.4 GB	Yes
Apple M3 Max	4bit	—	1.4 GB	Yes
Apple M4 Max	4bit	—	1.4 GB	Yes
NVIDIA DGX Spark	4bit	128 GB	1.4 GB	Yes
Apple M2 Max	4bit	—	1.4 GB	Yes
NVIDIA A100 80GB	4bit	80 GB	1.4 GB	Yes
NVIDIA H100 SXM	4bit	80 GB	1.4 GB	Yes
Apple M1 Max	4bit	—	1.4 GB	Yes
Apple M4 Pro	4bit	—	1.4 GB	Yes
Apple M3 Pro	4bit	—	1.4 GB	Yes
Apple M1 Pro	4bit	—	1.4 GB	Yes
Apple M2 Pro	4bit	—	1.4 GB	Yes
Apple M4	4bit	—	1.4 GB	Yes
NVIDIA GeForce RTX 5090	4bit	32 GB	1.4 GB	Yes
Apple M2	4bit	—	1.4 GB	Yes
Apple M3	4bit	—	1.4 GB	Yes
NVIDIA GeForce RTX 3090	4bit	24 GB	1.4 GB	Yes
NVIDIA GeForce RTX 4090	4bit	24 GB	1.4 GB	Yes
Apple M1	4bit	—	1.4 GB	Yes

Ancestors 1

LFM2.5-1.2B-BaseLiquid AI

This model

LFM2.5-VL-1.6B

1.6B params

Quantizations 1

LiquidAI/LFM2.5-VL-1.6B-GGUF1.6B

Descendants 0

None recorded.

Papers 1

arXiv:2511.23404Active
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 · Library name

1 claims · 1 propertiesShow all properties

Library namelibrary_name1

Claim history for Library name
Value	Valid from → to	Status	Source	Confidence	Extractor
transformers	11 Sept 2026 21:40 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 modelModelLFM2.5-VL-1.6BLiquid AI
New model: LFM2.5-VL-1.6B (Liquid AI)
huggingface
huggingface.co

Full timeline →

Source documents
Source	Document	Type	Tier	Last observed	Snapshots
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/LiquidAI/LFM2.5-VL-1.6B-GGUF	model_page	T2· Quality secondary	39 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/LiquidAI/LFM2.5-VL-1.6B	model_page	T2· Quality secondary	39 min ago	1
Hugging Face Hub (public pages, model cards, papers)	huggingface.co/models?author=LiquidAI&p=0&sort=downloads	listing	T2· Quality secondary	1 h ago	1

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