Olmo 3 1125 32B — Hardware Requirements & GPU Compatibility
Chat
Olmo 3 1125 32B is a 32.2B-parameter open language model from Allen AI in the OLMo family. It supports a context window of up to 65,536 tokens. At BF16 it needs about 65.30 GB of VRAM — see which GPUs and Macs can run it below.
18.1K downloads
119 likesSpecifications
- Publisher
- Allen AI
- Family
- OLMo
- Parameters
- 32.2B
- Architecture
- Olmo3ForCausalLM
- Context Length
- 65,536 tokens
- Vocabulary Size
- 100,278
- Release Date
- 2025-11-04
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Olmo 3 1125 32B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 65.3 GB | 82.0 GB | 64.47 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Olmo 3 1125 32B?
BF16 · 65.3 GBOlmo 3 1125 32B (BF16) requires 65.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 85+ GB is recommended. Using the full 66K context window can add up to 16.7 GB, bringing total usage to 82.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Olmo 3 1125 32B?
BF16 · 65.3 GB19 devices with unified memory can run Olmo 3 1125 32B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Olmo 3 1125 32B need?
Olmo 3 1125 32B requires 65.3 GB of VRAM at BF16. Full 66K context adds up to 16.7 GB (82.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 32.2B × 16 bits ÷ 8 = 64.5 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 17.5 GB (at full 66K context)
VRAM usage by quantization
BF1665.3 GBBF16 + full context82.0 GB- Can NVIDIA GeForce RTX 5090 run Olmo 3 1125 32B?
No — Olmo 3 1125 32B requires at least 65.3 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Olmo 3 1125 32B on a Mac?
Olmo 3 1125 32B requires at least 65.3 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Olmo 3 1125 32B locally?
Yes — Olmo 3 1125 32B can run locally on consumer hardware. At BF16 quantization it needs 65.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Olmo 3 1125 32B?
At BF16, Olmo 3 1125 32B can reach ~67 tok/s on AMD Instinct MI350X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 65.3 × 0.65 = ~80 tok/s
Estimated speed at BF16 (65.3 GB)
~80 tok/s~80 tok/s~67 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Olmo 3 1125 32B?
At BF16, the download is about 64.47 GB.
- Which GPUs can run Olmo 3 1125 32B?
No single consumer GPU has enough VRAM to run Olmo 3 1125 32B at BF16 (65.3 GB). Multi-GPU or professional hardware is required.
- Which devices can run Olmo 3 1125 32B?
19 devices with unified memory can run Olmo 3 1125 32B at BF16 (65.3 GB), including ASUS Ascent GX10, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB), Beelink GTR9 Pro (Ryzen AI Max+ 395, 128 GB), Framework Desktop (Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.