Title: OlmOCR 2 7B 1025 vs OlmOCR 7B 0225 Preview: Parametri %E2%80%94 LLM EU
Canonical: https://llmeu.com/mt/compare/olmocr-2-7b-1025-vs-olmocr-7b-0225-preview/
Markdown mirror: https://llmeu.com/mt/compare/olmocr-2-7b-1025-vs-olmocr-7b-0225-preview.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# OlmOCR 2 7B 1025 vs OlmOCR 7B 0225 Preview

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## Meta tu%C5%BCah

### [OlmOCR 2 7B 1025](/mt/models/olmocr-2-7b-1025/)

#### Sa%C4%A7%C4%A7iet

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 8.3B parameters it fits on a single accelerator
- the model page lists en

#### Limiti

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 8.3B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Kompiti

[Vi%C5%BCjoni](/mt/tasks/vision/), [Irkupru (RAG)](/mt/tasks/rag/)

### [OlmOCR 7B 0225 Preview](/mt/models/olmocr-7b-0225-preview/)

#### Sa%C4%A7%C4%A7iet

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 8.3B parameters it fits on a single accelerator
- the model page lists en

#### Limiti

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 8.3B parameters, the weights fit on a single modest accelerator
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Kompiti

[Vi%C5%BCjoni](/mt/tasks/vision/), [Irkupru (RAG)](/mt/tasks/rag/)

**Kompiti:** [Vi%C5%BCjoni](/mt/tasks/vision/), [Irkupru (RAG)](/mt/tasks/rag/)

## Qabbel mudelli

- [EuroLLM-9B-Instruct (2512) vs OlmOCR 2 7B 1025](/mt/compare/eurollm-9b-instruct-2512-vs-olmocr-2-7b-1025/)
- [Gemma 3 12B It vs OlmOCR 2 7B 1025](/mt/compare/gemma-3-12b-it-vs-olmocr-2-7b-1025/)
- [Gemma 3 4B It vs OlmOCR 2 7B 1025](/mt/compare/gemma-3-4b-it-vs-olmocr-2-7b-1025/)
- [Gemma 4 12B It vs OlmOCR 2 7B 1025](/mt/compare/gemma-4-12b-it-vs-olmocr-2-7b-1025/)
- [Gemma 4 E2B It vs OlmOCR 2 7B 1025](/mt/compare/gemma-4-e2b-it-vs-olmocr-2-7b-1025/)
- [Gemma 4 E4B IT vs OlmOCR 2 7B 1025](/mt/compare/gemma-4-e4b-it-vs-olmocr-2-7b-1025/)