Olmo-3-1125-32B The memory it needs, what you may do with it, and the hardware it suits.
Short answer. Olmo-3-1125-32B needs about 20 GB of memory at 4-bit, 36 GB at 8-bit and 67 GB at full 16-bit precision, including runtime overhead and an 8,192-token KV cache. It has about 32.2 billion parameters and a 65,536-token context window. Licence in short: commercial use allowed. By memory alone, on ANVE’s launch configurations: ANVE One fits at 8-bit, ANVE Office fits at 4-bit, ANVE Office Pro (GPU) fits at 4-bit. These are estimates from its published size, not benchmarks.
01
What it is
Olmo-3-1125-32B is a language model for chat, drafting and question answering, published by the Allen Institute for AI (Ai2) on Hugging Face on 4 November 2025. It has about 32.2 billion parameters and a configured context window of 65,536 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 22,540 downloads of it in the 30 days before we checked (7 Oct 2026), and 128 people have liked it there.
02
How much memory it needs
How these figures are worked out: weights = parameters × bits per weight ÷ 8. The KV cache is added for 8,192 tokens of context, plus about 1.5 GB of runtime overhead. Treat the totals as planning estimates.
Each token of context adds about 0.07 MB of KV cache at 16-bit, so 32,768 tokens would add about 2.1 GB. 48 of its 64 layers use sliding-window attention, so the real cache is smaller than this full-attention estimate.
Precision
Weights
KV cache (8,192 tokens)
Total, estimated
BF16 (full precision)
64 GB
0.54 GB
67 GB
8-bit (Q8_0)
34 GB
0.54 GB
36 GB
4-bit (Q4_K)
18 GB
0.54 GB
20 GB
03
Architecture at a glance
Setting
Value in config.json
Architecture class
Olmo3ForCausalLM
Model type
olmo3
Layers
64
Hidden size
5,120
Attention heads
40
Key-value heads
8 (grouped-query attention)
Head size
128
Vocabulary
100,278
Configured context
65,536
Stored precision
bfloat16
04
Will it fit on ANVE?
These verdicts are arithmetic, not tests, against the specification at launch: ANVE One can give a model about three quarters of its 64 GB of unified memory, while ANVE Office and ANVE Office Pro hold it on a 24 GB graphics card and keep the rest of the stack in 64 GB or 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 8-bit
ANVE Office
24 GB on the RTX PRO 4000 Blackwell SFF Edition
fits at 4-bit
ANVE Office Pro (GPU)
24 GB on the RTX PRO 4000 Blackwell
fits at 4-bit
05
What an office would use it for
This is the class ANVE runs by default (27B-class): strong enough for meeting minutes, summaries, drafting and question answering over an office’s own documents, and small enough for one box.
06
Variants with the same size
Olmo-3.1-32B-Think: a reasoning variant that thinks before it answers (same parameter count, so the memory figures above apply).
Olmo-3.1-32B-Instruct: the instruction-tuned version for chat (same parameter count, so the memory figures above apply).
Olmo-3-32B-Think: a reasoning variant that thinks before it answers (same parameter count, so the memory figures above apply).
07
Similar models to compare
granite-4.0-h-small (32.2B parameters, about 20 GB at 4-bit before context; commercial use allowed)
sarvam-30b (32.2B parameters, about 20 GB at 4-bit before context; commercial use allowed)
Qwen3-32B (32.8B parameters, about 20 GB at 4-bit before context; commercial use allowed)
08
Questions people ask
How much memory does Olmo-3-1125-32B need?
About 20 GB at 4-bit, 36 GB at 8-bit and 67 GB at full 16-bit precision, including an 8,192-token KV cache and about 1.5 GB of runtime overhead. These are estimates from its parameter count.
Can Olmo-3-1125-32B run on a 24 GB graphics card?
Yes, at 4-bit by this estimate, with room left for context.
Is Olmo-3-1125-32B 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 Olmo-3-1125-32B’s context window?
Its configuration sets 65,536 tokens. Longer contexts need more memory for the KV cache, so the practical limit on a given machine can be lower.
09
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.
