Q3_K_S4GB VRAM minimum

Google Gemma 2 9B It Q3_K_S VRAM Requirements

This page answers Google Gemma 2 9B It q3_k_s quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Short answer

Direct requirement summary for Google Gemma 2 9B It Q3_K_S

Short answer: Google Gemma 2 9B It typically needs around 4GB VRAM at Q3_K_S, and 5GB is safer for smoother usage.

Minimum VRAM

4GB

Recommended VRAM

5GB

Target quantization

Q3_K_S

Requirement Snapshot

Current quantization-specific requirement breakdown

Selected quantizationQ3_K_S

Minimum VRAM4GB

Q4 baseline5GB

Q8 baseline9GB

FP16 baseline18GB

Methodology

No hand-wavy numbers

Estimated from Q4 using a 28% memory reduction assumption for Q3_K_S.

Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.

Need general guidance? Review full methodology.

Next steps for this requirement

AMD Instinct MI300X

Check full compatibility details and speed context for this model.

Can AMD Instinct MI300X run Google Gemma 2 9B It? →Buy options for AMD Instinct MI300X →

NVIDIA H200 SXM 141GB

Check full compatibility details and speed context for this model.

Can NVIDIA H200 SXM 141GB run Google Gemma 2 9B It? →Buy options for NVIDIA H200 SXM 141GB →

NVIDIA H100 SXM5 80GB

Check full compatibility details and speed context for this model.

Can NVIDIA H100 SXM5 80GB run Google Gemma 2 9B It? →Buy options for NVIDIA H100 SXM5 80GB →

Need GPU recommendations?

Compare curated best GPU guides by budget and workload.

Browse best GPU guides →

Need a complete build?

Use proven local AI build recipes if you are planning a fresh hardware setup.

Browse local AI builds →

Prefer prebuilt systems?

Compare ready-to-buy systems if you want faster deployment.

Compare prebuilt systems →

Compare other quantization tiers for Google Gemma 2 9B It

Q4 requirements Q4_K_M requirements Q5_K_M requirements Q8 requirements FP16 requirements

Best GPUs for Google Gemma 2 9B It (Q3_K_S)

GPU	VRAM	Quantization	Speed	Compatibility	Buy
AMD Instinct MI300X	192GB	Q4	572 tok/s	View full compatibility	Buy options
NVIDIA H200 SXM 141GB	141GB	Q4	517 tok/s	View full compatibility	Buy options
NVIDIA H100 SXM5 80GB	80GB	Q4	371 tok/s	View full compatibility	Buy options
AMD Instinct MI250X	128GB	Q4	358 tok/s	View full compatibility	Buy options
NVIDIA H100 PCIe 80GB	80GB	Q4	236 tok/s	View full compatibility	Buy options
RTX 5090	32GB	Q4	225 tok/s	View full compatibility	Buy options
NVIDIA A100 80GB SXM4	80GB	Q4	219 tok/s	View full compatibility	Buy options
AMD Instinct MI210	64GB	Q4	178 tok/s	View full compatibility	Buy options
NVIDIA A100 40GB PCIe	40GB	Q4	170 tok/s	View full compatibility	Buy options
RTX 4090	24GB	Q4	135 tok/s	View full compatibility	Buy options
NVIDIA RTX 6000 Ada	48GB	Q4	134 tok/s	View full compatibility	Buy options
NVIDIA L40	48GB	Q4	124 tok/s	View full compatibility	Buy options

Back to Google Gemma 2 9B It model page Full hardware requirements Best GPU guides Prebuilt systems Local AI build guides

VRAM requirements FAQ

How much VRAM does Google Gemma 2 9B It need at Q3_K_S?

Google Gemma 2 9B It at Q3_K_S is estimated to require about 4GB VRAM minimum, with 5GB recommended for smoother operation.

Which GPUs can run Google Gemma 2 9B It Q3_K_S?

Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.

Should I use Q3_K_S or a different quantization for Google Gemma 2 9B It?

Q3_K_S is a balance point between memory usage and quality. If your GPU is below 4GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.

Q3_K_S4GB VRAM minimum

Google Gemma 2 9B It Q3_K_S VRAM Requirements

This page answers Google Gemma 2 9B It q3_k_s quantization queries with explicit calculations from our model requirement dataset and compatibility speed table.

Short answer

Direct requirement summary for Google Gemma 2 9B It Q3_K_S

Short answer: Google Gemma 2 9B It typically needs around 4GB VRAM at Q3_K_S, and 5GB is safer for smoother usage.

Minimum VRAM

4GB

Recommended VRAM

5GB

Target quantization

Q3_K_S

Requirement Snapshot

Current quantization-specific requirement breakdown

Selected quantizationQ3_K_S

Minimum VRAM4GB

Q4 baseline5GB

Q8 baseline9GB

FP16 baseline18GB

Methodology

No hand-wavy numbers

Estimated from Q4 using a 28% memory reduction assumption for Q3_K_S.

Throughput data below uses available compatibility measurements/estimates and is sorted by tokens per second for this model.

Need general guidance? Review full methodology.

Next steps for this requirement

AMD Instinct MI300X

Check full compatibility details and speed context for this model.

Can AMD Instinct MI300X run Google Gemma 2 9B It? →Buy options for AMD Instinct MI300X →

NVIDIA H200 SXM 141GB

Check full compatibility details and speed context for this model.

Can NVIDIA H200 SXM 141GB run Google Gemma 2 9B It? →Buy options for NVIDIA H200 SXM 141GB →

NVIDIA H100 SXM5 80GB

Check full compatibility details and speed context for this model.

Can NVIDIA H100 SXM5 80GB run Google Gemma 2 9B It? →Buy options for NVIDIA H100 SXM5 80GB →

Need GPU recommendations?

Compare curated best GPU guides by budget and workload.

Browse best GPU guides →

Need a complete build?

Use proven local AI build recipes if you are planning a fresh hardware setup.

Browse local AI builds →

Prefer prebuilt systems?

Compare ready-to-buy systems if you want faster deployment.

Compare prebuilt systems →

Compare other quantization tiers for Google Gemma 2 9B It

Q4 requirements Q4_K_M requirements Q5_K_M requirements Q8 requirements FP16 requirements

Best GPUs for Google Gemma 2 9B It (Q3_K_S)

GPU	VRAM	Quantization	Speed	Compatibility	Buy
AMD Instinct MI300X	192GB	Q4	572 tok/s	View full compatibility	Buy options
NVIDIA H200 SXM 141GB	141GB	Q4	517 tok/s	View full compatibility	Buy options
NVIDIA H100 SXM5 80GB	80GB	Q4	371 tok/s	View full compatibility	Buy options
AMD Instinct MI250X	128GB	Q4	358 tok/s	View full compatibility	Buy options
NVIDIA H100 PCIe 80GB	80GB	Q4	236 tok/s	View full compatibility	Buy options
RTX 5090	32GB	Q4	225 tok/s	View full compatibility	Buy options
NVIDIA A100 80GB SXM4	80GB	Q4	219 tok/s	View full compatibility	Buy options
AMD Instinct MI210	64GB	Q4	178 tok/s	View full compatibility	Buy options
NVIDIA A100 40GB PCIe	40GB	Q4	170 tok/s	View full compatibility	Buy options
RTX 4090	24GB	Q4	135 tok/s	View full compatibility	Buy options
NVIDIA RTX 6000 Ada	48GB	Q4	134 tok/s	View full compatibility	Buy options
NVIDIA L40	48GB	Q4	124 tok/s	View full compatibility	Buy options

Back to Google Gemma 2 9B It model page Full hardware requirements Best GPU guides Prebuilt systems Local AI build guides

VRAM requirements FAQ

How much VRAM does Google Gemma 2 9B It need at Q3_K_S?

Google Gemma 2 9B It at Q3_K_S is estimated to require about 4GB VRAM minimum, with 5GB recommended for smoother operation.

Which GPUs can run Google Gemma 2 9B It Q3_K_S?

Start with AMD Instinct MI300X, NVIDIA H200 SXM 141GB, NVIDIA H100 SXM5 80GB and review each compatibility page for full speed and fit details.

Should I use Q3_K_S or a different quantization for Google Gemma 2 9B It?

Q3_K_S is a balance point between memory usage and quality. If your GPU is below 4GB, consider lower-bit quantization; if you have extra VRAM, compare Q8/FP16 options for quality-sensitive workloads.