Gemma 3 12B IT GGUF — Hardware Requirements & GPU Compatibility
Vision
62.0K downloads
42 likesSpecifications
- Publisher
- LM Studio Community
- Family
- Gemma
- Parameters
- 12B
- License
- Gemma Terms
Get Started
HuggingFace
How Much VRAM Does Gemma 3 12B IT GGUF Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q3_K_L | 4.10 | 6.8 GB | — | 6.15 GB | 3-bit large quantization |
| Q4_K_M | 4.80 | 7.9 GB | — | 7.20 GB | 4-bit medium quantization — most popular sweet spot |
| Q6_K | 6.60 | 10.9 GB | — | 9.90 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 13.2 GB | — | 12.00 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Gemma 3 12B IT GGUF?
Q4_K_M · 7.9 GBGemma 3 12B IT GGUF (Q4_K_M) requires 7.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 11+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Gemma 3 12B IT GGUF?
Q4_K_M · 7.9 GB33 devices with unified memory can run Gemma 3 12B IT GGUF, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, MacBook Air 13" M3 (8 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Gemma 3 12B IT GGUF need?
Gemma 3 12B IT GGUF requires 7.9 GB of VRAM at Q4_K_M, or 13.2 GB at Q8_0.
VRAM = Weights + KV Cache + Overhead
Weights = 12B × 4.8 bits ÷ 8 = 7.2 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
Q4_K_M7.9 GB- What's the best quantization for Gemma 3 12B IT GGUF?
For Gemma 3 12B IT GGUF, Q4_K_M (7.9 GB) offers the best balance of quality and VRAM usage. Q6_K (10.9 GB) provides better quality if you have the VRAM. The smallest option is Q3_K_L at 6.8 GB.
VRAM requirement by quantization
Q3_K_L6.8 GB~86%Q4_K_M ★7.9 GB~89%Q6_K10.9 GB~95%Q8_013.2 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Gemma 3 12B IT GGUF on a Mac?
Gemma 3 12B IT GGUF requires at least 6.8 GB at Q3_K_L, 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 3 12B IT GGUF locally?
Yes — Gemma 3 12B IT GGUF can run locally on consumer hardware. At Q4_K_M quantization it needs 7.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Gemma 3 12B IT GGUF?
At Q4_K_M, Gemma 3 12B IT GGUF can reach ~368 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~83 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 7.9 × 0.55 = ~368 tok/s
Estimated speed at Q4_K_M (7.9 GB)
AMD Instinct MI300X~368 tok/sNVIDIA GeForce RTX 4090~83 tok/sNVIDIA H100 SXM~275 tok/sAMD Instinct MI250X~228 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Gemma 3 12B IT GGUF?
At Q4_K_M, the download is about 7.20 GB. The full-precision Q8_0 version is 12.00 GB. The smallest option (Q3_K_L) is 6.15 GB.