What are the hardware requirements for OlmOCR 2 7B 1025 FP8?

OlmOCR 2 7B 1025 FP8 requires approximately 10 GB of VRAM and supports a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed OlmOCR 2 7B 1025 FP8 and how large is it?

OlmOCR 2 7B 1025 FP8 is developed by allenai, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate OlmOCR 2 7B 1025 FP8?

OlmOCR 2 7B 1025 FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

OlmOCR 2 7B 1025 FP8 by allenai — VRAM 10GB, 125K context

Name: OlmOCR 2 7B 1025 FP8
Author: allenai

OlmOCR 2 7B 1025 FP8 is an open-source language model by allenai. Features: 7b LLM, VRAM: 10GB, Context: 125K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.33.

Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-vl-7b-... Compressed-tensors Conversational Deploy:azure En Endpoints compatible Eval-results Image-text-to-text Instruct Qwen2 5 vl Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8

OlmOCR 2 7B 1025 FP8 Parameters and Internals

LLM Name	OlmOCR 2 7B 1025 FP8
Repository 🤗	https://huggingface.co/allenai/olmOCR-2-7B-1025-FP8
Base Model(s)	Qwen/Qwen2.5-VL-7B-Instruct Qwen/Qwen2.5-VL-7B-Instruct
Model Size	7b
Required VRAM	10 GB
Updated	2026-08-09
Maintainer	allenai
Model Type	qwen2_5_vl
Instruction-Based	Yes
Model Files	4.9 GB: 1-of-3 4.0 GB: 2-of-3 1.1 GB: 3-of-3
Supported Languages	en
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	apache-2.0
Context Length	128000
Model Max Length	128000
Transformers Version	4.53.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the OlmOCR 2 7B 1025 FP8 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to OlmOCR 2 7B 1025 FP8

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
Qwen2.5 VL 7B Instruct	125K / 16.7 GB	8740905	1666
RolmOCR	125K / 16.6 GB	224280	589
PosterCopilot	125K / 16.7 GB	29	1
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
X Reasoner 7B	125K / 16.5 GB	1030	10
Qwen2.5 VL 7B Instruct NVFP4	125K / 7.2 GB	8092	16
ZwZ 7B	125K / 16.6 GB	32	10
Qwen2.5 VL 7B Instruct FP8	125K / 10 GB	1009	8
OlmOCR 2 7B 1025 Bf16	125K / 16.6 GB	154	2

Note: green Score (e.g. "73.2") means that the model is better than allenai/olmOCR-2-7B-1025-FP8.