Gemma 4 26B A4B QAT Styletune v2 Voice — Hardware Requirements & GPU Compatibility
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Gemma 4 26B A4B QAT Styletune v2 Voice is a 26B-parameter open language model from Wiself in the Gemma 4 family. At BF16 it needs about 57.20 GB of VRAM — see which GPUs and Macs can run it below.
914 downloads
2 likesSpecifications
- Publisher
- Wiself
- Family
- Gemma 4
- Parameters
- 26B
- Release Date
- 2026-09-02
- License
- Apache 2.0
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How Much VRAM Does Gemma 4 26B A4B QAT Styletune v2 Voice Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 57.2 GB | — | 52.00 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 26B A4B QAT Styletune v2 Voice?
BF16 · 57.2 GBGemma 4 26B A4B QAT Styletune v2 Voice (BF16) requires 57.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 75+ GB is recommended. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Gemma 4 26B A4B QAT Styletune v2 Voice?
BF16 · 57.2 GB22 devices with unified memory can run Gemma 4 26B A4B QAT Styletune v2 Voice, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio (M3 Ultra, 96GB).
Runs great
— Plenty of headroom
Related Models
Frequently Asked Questions
- How much VRAM does Gemma 4 26B A4B QAT Styletune v2 Voice need?
Gemma 4 26B A4B QAT Styletune v2 Voice requires 57.2 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 26B × 16 bits ÷ 8 = 52 GB
KV Cache + Overhead ≈ 5.2 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF1657.2 GB- Can NVIDIA GeForce RTX 5090 run Gemma 4 26B A4B QAT Styletune v2 Voice?
No — Gemma 4 26B A4B QAT Styletune v2 Voice requires at least 57.2 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Gemma 4 26B A4B QAT Styletune v2 Voice on a Mac?
Gemma 4 26B A4B QAT Styletune v2 Voice requires at least 57.2 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 26B A4B QAT Styletune v2 Voice locally?
Yes — Gemma 4 26B A4B QAT Styletune v2 Voice can run locally on consumer hardware. At BF16 quantization it needs 57.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Gemma 4 26B A4B QAT Styletune v2 Voice?
At BF16, Gemma 4 26B A4B QAT Styletune v2 Voice can reach ~88 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 ÷ 57.2 × 0.65 = ~231 tok/s
Estimated speed at BF16 (57.2 GB)
~231 tok/s~231 tok/s~185 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 26B A4B QAT Styletune v2 Voice?
At BF16, the download is about 52.00 GB.
- Which GPUs can run Gemma 4 26B A4B QAT Styletune v2 Voice?
No single consumer GPU has enough VRAM to run Gemma 4 26B A4B QAT Styletune v2 Voice at BF16 (57.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run Gemma 4 26B A4B QAT Styletune v2 Voice?
23 devices with unified memory can run Gemma 4 26B A4B QAT Styletune v2 Voice at BF16 (57.2 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.