Home / Models / Gemma 3 4B Instruct / NVIDIA RTX A4500 20 GB
Can Gemma 3 4B Instruct run on NVIDIA RTX A4500 20 GB?
Yes. Calculated memory fit: Gemma 3 4B 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 3 4B Instruct · 4.3B
- GPU
- NVIDIA RTX A4500 20 GB · 20 GB advertised
What else can NVIDIA RTX A4500 20 GB run? · Find other GPUs for Gemma 3 4B Instruct
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 2.5 GB |
|---|---|
| KV cache | 1.1 GB |
| Runtime reserve | 0.6 GB |
| Safety margin | 0.3 GB |
| Required (estimated) | 4.5 GB |
| GPU usable VRAM | 18.0 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K |
|---|---|---|---|---|---|---|---|
| BF16 | Fits | Fits | Fits | Fits | Fits | Limited context | Limited context |
| FP16 | Fits | Fits | Fits | Fits | Fits | Limited context | Limited context |
| Q3 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q4 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q5 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q6 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
| Q8 | Fits | Fits | Fits | Fits | Fits | Fits | Limited context |
What fits entirely in VRAM?
- BF16 at 16K context
- BF16 at 2K context
- BF16 at 32K context
- BF16 at 4K context
- BF16 at 8K context
- FP16 at 16K context
- FP16 at 2K context
- FP16 at 32K context
- FP16 at 4K context
- FP16 at 8K context
- Q3 at 16K context
- Q3 at 2K context
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.
Sources
Model: official config google/gemma-3-4b-it (official-fallback-config). 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.