olmOCR-2-7B-1025 How much memory it needs, what its licence allows, and whether it fits an office box.
Short answer. olmOCR-2-7B-1025 needs about 6.2 GB of memory at 4-bit, 10 GB at 8-bit and 18 GB at full 16-bit precision, including runtime overhead. It has about 8.3 billion parameters and a 128,000-token context window. Licence in short: commercial use allowed. By memory alone, on ANVE’s launch configurations: ANVE One fits at BF16, ANVE Office fits at BF16, ANVE Office Pro (GPU) fits at BF16. These are estimates from its published size, not benchmarks.
01
What it is
olmOCR-2-7B-1025 is a document-reading model that turns scanned pages and images into text, published by the Allen Institute for AI (Ai2) on Hugging Face on 6 October 2025. It has about 8.3 billion parameters and a configured context window of 128,000 tokens.
Its card lists the licence as Apache 2.0. In short, the licence allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant.
Hugging Face counted about 123,916 downloads of it in the 30 days before we checked (7 Oct 2026), and 158 people have liked it there.
It is built on Qwen/Qwen2.5-VL-7B-Instruct, according to its card.
02
How much memory it needs
The arithmetic: parameters × bits per weight ÷ 8 gives the weights, plus about 1.5 GB for the runtime. These are planning estimates, not measurements.
Inputs are short, so working memory is small next to the weights.
Precision
Weights
Total, estimated
BF16 (full precision)
17 GB
18 GB
8-bit (Q8_0)
8.8 GB
10 GB
4-bit (Q4_K)
4.7 GB
6.2 GB
03
Architecture at a glance
Setting
Value in config.json
Architecture class
Qwen2_5_VLForConditionalGeneration
Model type
qwen2_5_vl
Layers
28
Hidden size
3,584
Attention heads
28
Key-value heads
4 (grouped-query attention)
Head size
128
Vocabulary
152,064
Configured context
128,000
Stored precision
bfloat16
04
Will it fit on ANVE?
Arithmetic against the launch specification, not a test: about three quarters of ANVE One’s 64 GB of unified memory for the model (as AMD’s Variable Graphics Memory allows), and the 24 GB on the graphics card in ANVE Office and ANVE Office Pro, which keep the rest of the stack in 64 GB and 128 GB of system memory. ANVE’s tested default is Qwen 3.8 27B; this model is not yet validated on ANVE.
Configuration (at launch)
Memory for the model
Verdict
ANVE One
about 48 GB of 64 GB unified memory
fits at BF16
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at BF16
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at BF16
05
What an office would use it for
For an office, this is how scanned invoices, letters and forms become searchable text. Check its output on your own documents, especially tables, stamps and handwriting.
06
Similar models to compare
Qianfan-OCR (4.7B parameters, about 4.2 GB at 4-bit before context; commercial use allowed)
DeepSeek-OCR-2 (3.4B parameters, about 3.4 GB at 4-bit before context; commercial use allowed)
DeepSeek-OCR (3.3B parameters, about 3.4 GB at 4-bit before context; commercial use allowed)
07
Questions people ask
How much memory does olmOCR-2-7B-1025 need?
About 6.2 GB at 4-bit, 10 GB at 8-bit and 18 GB at full 16-bit precision, including about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can olmOCR-2-7B-1025 run on a 24 GB graphics card?
Yes, at BF16 by this estimate, with room left for context.
Is olmOCR-2-7B-1025 free for commercial use?
Its card lists Apache 2.0, which allows commercial use, modification and redistribution, with attribution and a copy of the licence, and includes a patent grant. Read the licence itself before relying on this summary; it is not legal advice.
What is olmOCR-2-7B-1025’s context window?
Its configuration sets 128,000 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.
08
What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.
