Gemma3 1B IT — Hardware Requirements & GPU Compatibility
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Gemma3 1B IT is a 1B-parameter open language model from litert-community in the Gemma 3 family. At BF16 it needs about 2.20 GB of VRAM — see which GPUs and Macs can run it below.
11.0K downloads
708 likesSpecifications
- Publisher
- litert-community
- Family
- Gemma 3
- Parameters
- 1B
- Release Date
- 2025-03-11
- License
- Gemma Terms
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HuggingFace
How Much VRAM Does Gemma3 1B IT Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 2.2 GB | — | 2.00 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 Gemma3 1B IT?
BF16 · 2.2 GBGemma3 1B IT (BF16) requires 2.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 3+ GB is recommended. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Gemma3 1B IT?
BF16 · 2.2 GB59 devices with unified memory can run Gemma3 1B IT, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Gemma3 1B IT need?
Gemma3 1B IT requires 2.2 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 1B × 16 bits ÷ 8 = 2 GB
KV Cache + Overhead ≈ 0.2 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF162.2 GB- Can I run Gemma3 1B IT on a Mac?
Gemma3 1B IT requires at least 2.2 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 Gemma3 1B IT locally?
Yes — Gemma3 1B IT can run locally on consumer hardware. At BF16 quantization it needs 2.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Gemma3 1B IT?
At BF16, Gemma3 1B IT can reach ~2000 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~298 tok/s. 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 ÷ 2.2 × 0.65 = ~2364 tok/s
Estimated speed at BF16 (2.2 GB)
~2364 tok/s~298 tok/s~2364 tok/s~2000 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Gemma3 1B IT?
At BF16, the download is about 2.00 GB.
- Which GPUs can run Gemma3 1B IT?
50 consumer GPUs can run Gemma3 1B IT at BF16 (2.2 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 50 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Gemma3 1B IT?
59 devices with unified memory can run Gemma3 1B IT at BF16 (2.2 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, 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.