Model Card on HF 🤗: https://huggingface.co/J-LAB/Florence-vl3
Florence Vl3 Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Florence Vl3 Parameters and Internals
| LLM Name | Florence Vl3 |
| Repository 🤗 | https://huggingface.co/J-LAB/Florence-vl3 |
| Model Size | 822.9m |
| Required VRAM | 3.3 GB |
| Updated | 2025-02-22 |
| Maintainer | J-LAB |
| Model Type | florence2 |
| Model Files | |
| Model Architecture | Florence2ForConditionalGeneration |
| Model Max Length | 1024 |
| Transformers Version | 4.41.0.dev0 |
| Tokenizer Class | BartTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 51289 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Florence Vl3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Florence 2 DocVQA | 0K / 3.3 GB | 2508 | 58 |
Note: green Score (e.g. "73.2") means that the model is better than J-LAB/Florence-vl3 .
Rank the Florence Vl3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227