SmolVLM2-256M-Video-Instruct
Hugging Facehuggingface.co/HuggingFaceTB/SmolVLM2-256M-Video
Updated 6 min ago · first seen 11 Sept 2026
model_01M294YKA0FDGQVE7SRR4DT4VA
- Parameters
- 256.5M
- T2 · 30 min ago
- Released
- 11 Feb 2025
- T2 · 6 min ago
- License
- apache-2.0
- T2 · 6 min ago
Specification
- Release date
- 11 Feb 2025
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- License
- apache-2.0
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Architecture
- SmolVLMForConditionalGeneration
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Parameters
- 256.5M
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Languages
- en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Base model
- HuggingFaceTB/SmolVLM-256M-Instruct
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Quantization format
- onnx
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- File size
- 1.0 GB
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Hugging Face repo
- HuggingFaceTB/SmolVLM2-256M-Video-Instruct
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Pipeline tag
- image-text-to-text
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Downloads
- 50,818
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Likes
- 114
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Datasets
- HuggingFaceM4/the_cauldron, HuggingFaceM4/Docmatix, lmms-lab/LLaVA-OneVision-Data, lmms-lab/M4-Instruct-Data, HuggingFaceFV/finevideo, MAmmoTH-VL/MAmmoTH-VL-Instruct-12M, lmms-lab/LLaVA-Video-178K, orrzohar/Video-STaR, Mutonix/Vript, TIGER-Lab/VISTA-400K, Enxin/MovieChat-1K_train, ShareGPT4Video/ShareGPT4Video
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Is quantized
- Yes
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Last modified
- 2025-04-08T07:25:59+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Downloads all time
- 2,186,053
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Model type
- smolvlm
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Tags
- transformers, onnx, safetensors, smolvlm, image-text-to-text, en
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
- Weights dtype
- F32
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 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
23
Source tiers
T223
Freshest observation
6 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
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 6 min agomedium
No benchmark results recorded
Current prices
No current prices recorded
Price history
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.
| 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 |
Ancestors 4
- SmolVLM-256M-Instruct256.5M
- SmolLM2-135M-Instruct134.5M
- siglip-base-patch16-512Google
- SmolLM2-135M134.5M
This model
SmolVLM2-256M-Video-Instruct
256.5M params
Quantizations 0
None recorded.
Descendants 0
None recorded.
Papers 1
- arXiv:2504.05299Active
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
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 11 Feb 2025 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Licenselicense1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| apache-2.0 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Architecturearchitecture1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| SmolVLMForConditionalGeneration | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 256.5M | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Languageslanguages1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| en | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Base modelbase_model1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| HuggingFaceTB/SmolVLM-256M-Instruct | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Quantization formatquant_format1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| onnx | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
File sizefile_size_gb1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 1.0 GB | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| HuggingFaceTB/SmolVLM2-256M-Video-Instruct | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Pipeline tagpipeline_tag1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| image-text-to-text | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model cardmodel_card_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 50,818 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 114 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Datasetsdatasets1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| HuggingFaceM4/the_cauldron, HuggingFaceM4/Docmatix, lmms-lab/LLaVA-OneVision-Data, lmms-lab/M4-Instruct-Data, HuggingFaceFV/finevideo, MAmmoTH-VL/MAmmoTH-VL-Instruct-12M, lmms-lab/LLaVA-Video-178K, orrzohar/Video-STaR, Mutonix/Vript, TIGER-Lab/VISTA-400K, Enxin/MovieChat-1K_train, ShareGPT4Video/ShareGPT4Video | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Gatedgated1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Is quantizedis_quantized1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| Yes | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2025-04-08T07:25:59+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Library namelibrary_name1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| transformers | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloads all timemetric.downloads_all_time1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2,186,053 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model typemodel_type1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| smolvlm | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Weights dtypeweights_dtype1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| F32 | → 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 →
New model: SmolVLM2-256M-Video-Instruct (Hugging Face)
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct | model_page | T2· Quality secondary | 3 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=HuggingFaceTB&p=0&sort=downloads | listing | T2· Quality secondary | 28 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.