Gemma 4 31B Protokoll — Hardware Requirements & GPU Compatibility
ChatSummary
Gemma 4 31B Protokoll is a 31B-parameter open language model from aihpi in the Gemma 4 family. At BF16 it needs about 68.20 GB of VRAM — see which GPUs and Macs can run it below.
3 likesSpecifications
- Publisher
- aihpi
- Family
- Gemma 4
- Parameters
- 31B
- Release Date
- 2026-09-17
- License
- Gemma Terms
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HuggingFace
How Much VRAM Does Gemma 4 31B Protokoll Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 68.2 GB | — | 62.00 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 Gemma 4 31B Protokoll?
BF16 · 68.2 GBGemma 4 31B Protokoll (BF16) requires 68.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 89+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Gemma 4 31B Protokoll?
BF16 · 68.2 GB19 devices with unified memory can run Gemma 4 31B Protokoll, 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 Gemma 4 31B Protokoll need?
Gemma 4 31B Protokoll requires 68.2 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 31B × 16 bits ÷ 8 = 62 GB
KV Cache + Overhead ≈ 6.2 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1668.2 GB- Can NVIDIA GeForce RTX 5090 run Gemma 4 31B Protokoll?
No — Gemma 4 31B Protokoll requires at least 68.2 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Gemma 4 31B Protokoll on a Mac?
Gemma 4 31B Protokoll requires at least 68.2 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 Gemma 4 31B Protokoll locally?
Yes — Gemma 4 31B Protokoll can run locally on consumer hardware. At BF16 quantization it needs 68.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Gemma 4 31B Protokoll?
At BF16, Gemma 4 31B Protokoll can reach ~70 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 ÷ 68.2 × 0.65 = ~76 tok/s
Estimated speed at BF16 (68.2 GB)
~76 tok/s~76 tok/s~70 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Gemma 4 31B Protokoll?
At BF16, the download is about 62.00 GB.
- Which GPUs can run Gemma 4 31B Protokoll?
No single consumer GPU has enough VRAM to run Gemma 4 31B Protokoll at BF16 (68.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run Gemma 4 31B Protokoll?
19 devices with unified memory can run Gemma 4 31B Protokoll at BF16 (68.2 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.