Home / Models / Gemma 4 E2B Instruct / AMD Radeon RX 6600 8 GB

Calculated memory fit · performance is a separate section

Can Gemma 4 E2B Instruct run on AMD Radeon RX 6600 8 GB?

Yes. Calculated memory fit: Gemma 4 E2B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Gemma 4 E2B Instruct · 5.1B
GPU
AMD Radeon RX 6600 8 GB · 8 GB advertised

What else can AMD Radeon RX 6600 8 GB run? · Find other GPUs for Gemma 4 E2B Instruct

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights3.0 GB
KV cache0.3 GB
Runtime reserve0.7 GB
Safety margin0.3 GB
Required (estimated)4.3 GB
GPU usable VRAM7.2 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K64K128K
BF16OffloadOffloadOffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsFitsFitsLimited context
Q4FitsFitsFitsFitsFitsFitsLimited context
Q5FitsFitsFitsFitsFitsFitsLimited context
Q6FitsFitsFitsFitsFitsLimited contextLimited context
Q8FitsFitsFitsLimited contextLimited contextLimited contextLimited context

What fits entirely in VRAM?

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

Sources

Model: official config google/gemma-4-E2B-it (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.