Nanonets OCR2 3B is an open-source language model by nanonets. Features: 3b LLM, VRAM: 7.5GB, Context: 125K, Instruction-Based, LLM Explorer Score: 0.35.
| LLM Name | Nanonets OCR2 3B |
| Repository π€ | https://huggingface.co/nanonets/Nanonets-OCR2-3B |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 7.5 GB |
| Updated | 2026-08-08 |
| Maintainer | nanonets |
| Model Type | qwen2_5_vl |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2_5_VLForConditionalGeneration |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.55.4 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 VL 3B Instruct | 125K / 7.5 GB | 2710 | 6 |