litert-community·Gemma

Gemma 3 270M IT — Hardware Requirements & GPU Compatibility

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Specifications

Publisher
litert-community
Family
Gemma
Parameters
270M
Release Date
2026-01-08
License
Gemma Terms

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How Much VRAM Does Gemma 3 270M IT Need?

Select a quantization to see compatible GPUs below.

QuantizationBitsVRAM
Q2_K3.400.1 GB
Q3_K_S3.500.1 GB
Q3_K_M3.900.1 GB
Q4_04.000.1 GB
Q4_K_M4.800.2 GB
Q5_K_M5.700.2 GB
Q6_K6.600.3 GB
Q8_08.000.3 GB

Which GPUs Can Run Gemma 3 270M IT?

Q4_K_M · 0.2 GB

Gemma 3 270M IT (Q4_K_M) requires 0.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 1+ GB is recommended. 35 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.

Which Devices Can Run Gemma 3 270M IT?

Q4_K_M · 0.2 GB

33 devices with unified memory can run Gemma 3 270M IT, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.

Related Models

Frequently Asked Questions

How much VRAM does Gemma 3 270M IT need?

Gemma 3 270M IT requires 0.2 GB of VRAM at Q4_K_M, or 0.3 GB at Q8_0.

VRAM = Weights + KV Cache + Overhead

Weights = 270M × 4.8 bits ÷ 8 = 0.2 GB

VRAM usage by quantization

0.2 GB

Learn more about VRAM estimation →

What's the best quantization for Gemma 3 270M IT?

For Gemma 3 270M IT, Q4_K_M (0.2 GB) offers the best balance of quality and VRAM usage. Q5_K_S (0.2 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 0.1 GB.

VRAM requirement by quantization

IQ2_XXS
0.1 GB
Q3_K_S
0.1 GB
Q4_1
0.2 GB
Q4_K_M
0.2 GB
Q5_K_S
0.2 GB
Q8_0
0.3 GB

★ Recommended — best balance of quality and VRAM usage.

Learn more about quantization →

Can I run Gemma 3 270M IT on a Mac?

Gemma 3 270M IT requires at least 0.1 GB at IQ2_XXS, 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 270M IT locally?

Yes — Gemma 3 270M IT can run locally on consumer hardware. At Q4_K_M quantization it needs 0.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.

How fast is Gemma 3 270M IT?

At Q4_K_M, Gemma 3 270M IT can reach ~16194 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~3640 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 MI300X5300 ÷ 0.2 × 0.55 = ~16194 tok/s

Estimated speed at Q4_K_M (0.2 GB)

~16194 tok/s
~3640 tok/s
~12104 tok/s
~10012 tok/s

Real-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.

Learn more about tok/s estimation →

What's the download size of Gemma 3 270M IT?

At Q4_K_M, the download is about 0.16 GB. The full-precision Q8_0 version is 0.27 GB. The smallest option (IQ2_XXS) is 0.07 GB.

Which GPUs can run Gemma 3 270M IT?

35 consumer GPUs can run Gemma 3 270M IT at Q4_K_M (0.2 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 35 GPUs have plenty of headroom for comfortable inference.

Which devices can run Gemma 3 270M IT?

33 devices with unified memory can run Gemma 3 270M IT at Q4_K_M (0.2 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.