TinyLLaVA SmolLM2 135M Instruct Dinov2 Small Pretrained
| Category | # Samples | Accuracy | | Overall | 900 | 0.251 | | Overall-Art and Design | 120 | 0.225 | | Art | 30 | 0.200 | | Art Theory | 30 | 0.233 | | Design | 30 | 0.233 | | Music | 30 | 0.233 | |...
Modellquelle
- Art
- Text model
- Dateigröße
- 300 MB
- Basismodell
- HuggingFaceTB/SmolLM2-135M-Instruct
- Version
- vmodel
- Aktualisiert
- 2. Okt. 2026
- Downloads
- 11
- Quelle
- Hugging Face
Quellenbeschreibung
Pretrained, 500 epochs
| Category | # Samples | Accuracy |
|---|---|---|
| Overall | 900 | 0.251 |
| Overall-Art and Design | 120 | 0.225 |
| Art | 30 | 0.200 |
| Art Theory | 30 | 0.233 |
| Design | 30 | 0.233 |
| Music | 30 | 0.233 |
| Overall-Business | 150 | 0.267 |
| Accounting | 30 | 0.300 |
| Economics | 30 | 0.267 |
| Finance | 30 | 0.200 |
| Management | 30 | 0.267 |
| Marketing | 30 | 0.300 |
| Overall-Science | 150 | 0.207 |
| Biology | 30 | 0.200 |
| Chemistry | 30 | 0.233 |
| Geography | 30 | 0.233 |
| Math | 30 | 0.167 |
| Physics | 30 | 0.200 |
| Overall-Health and Medicine | 150 | 0.273 |
| Basic Medical Science | 30 | 0.233 |
| Clinical Medicine | 30 | 0.333 |
| Diagnostics and Laboratory Med. | 30 | 0.267 |
| Pharmacy | 30 | 0.367 |
| Public Health | 30 | 0.167 |
| Overall-Humanities and Soc. Sci. | 120 | 0.225 |
| History | 30 | 0.167 |
| Literature | 30 | 0.167 |
| Sociology | 30 | 0.300 |
| Psychology | 30 | 0.267 |
| Overall-Tech and Engineering | 210 | 0.286 |
| Agriculture | 30 | 0.200 |
| Architecture and Engineering | 30 | 0.400 |
| Computer Science | 30 | 0.200 |
| Electronics | 30 | 0.167 |
| Energy and Power | 30 | 0.333 |
| Materials | 30 | 0.300 |
| Mechanical Engineering | 30 | 0.400 |
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 21. Aug.
Modellartefakte
1 Artefakt
Modellartefakte
1 ArtefaktQuellenauszüge
2 Auszüge
Quellenauszüge
2 Auszüge--- license: apache-2.0 language: - en base_model: - HuggingFaceTB/SmolLM2-135M-Instruct - facebook/dinov2-small pipeline_tag: visual-question-answering --- Pretrained, 500 epochs [MMMU](https://tinyllava-factory.readthedocs.io/en/latest/Evaluation.html#mmmu) | Category | # Samples | Accuracy | |---------------------------------|-----------|----------| | Overall | 900 | 0.251 | | Overall-Art and Design | 120 | 0.225 | | Art | 30 | 0.200 | | Art Theory | 30 | 0.233 | | Design | 30 | 0.233 | | Music | 30 | 0.233 | | Overall-Business | 150 | 0.267 | | Accounting | 30 | 0.300 | | Economics | 30 | 0.267 | | Finance | 30 | 0.200 | | Management | 30 | 0.267 | | Marketing | 30 | 0.300 | | Overall-Science | 150 | 0.207 | | Biology | 30 | 0.200 | | Chemistry | 30 | 0.233 | | Geography | 30 | 0.233 | | Math | 30 | 0.167 | | Physics | 30 | 0.200 | | Overall-Health and Medicine | 150 | 0.273 | | Basic Medical Science | 30 | 0.233 | | Clinical Medicine | 30 | 0.333 | | Diagnostics and Laboratory Med. | 30 | 0.267 | | Pharmacy | 30 | 0.367 | | Public Health | 30 | 0.167 | | Overall-Humanities and Soc. Sci.| 120 | 0.225 | | History | 30 | 0.167 | | Literature | 30 | 0.167 | | Sociology | 30 | 0.300 | | Psychology | 30 | 0.267 | | Overall-Tech and Engineering | 210 | 0.286 | | Agriculture | 30 | 0.200 | | Architecture and Engineering | 30 | 0.400 | | Computer Science | 30 | 0.200 | | Electronics | 30 | 0.167 | | Energy and Power | 30 | 0.333 | | Materials | 30 | 0.300 | | Mechanical Engineering | 30 | 0.400 |
Source context: 11 downloads · 0 likes · Pipeline visual-question-answering · Repo sbrzz/TinyLLaVA-SmolLM2-135M-Instruct-dinov2-small-pretrained
