Home / Models / Phi-3.5 Mini Instruct / NVIDIA RTX 2070 SUPER 8 GB
Can Phi-3.5 Mini Instruct run on NVIDIA RTX 2070 SUPER 8 GB?
Yes. Calculated memory fit: Phi-3.5 Mini 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
- Phi-3.5 Mini Instruct · 3.8B
- GPU
- NVIDIA RTX 2070 SUPER 8 GB · 8 GB advertised
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 2.2 GB |
|---|---|
| KV cache | 3.0 GB |
| Runtime reserve | 0.6 GB |
| Safety margin | 0.3 GB |
| Required (estimated) | 6.2 GB |
| GPU usable VRAM | 7.2 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K |
|---|---|---|---|---|---|---|---|
| BF16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| FP16 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q3 | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q4 | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q5 | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q6 | Fits | Fits | Fits | Limited context | Limited context | Limited context | Limited context |
| Q8 | Fits | Fits | Limited context | Limited context | Limited context | Limited context | Limited context |
What fits entirely in VRAM?
- Q3 at 2K context
- Q3 at 4K context
- Q3 at 8K context
- Q4 at 2K context
- Q4 at 4K context
- Q4 at 8K context
- Q5 at 2K context
- Q5 at 4K context
- Q5 at 8K context
- Q6 at 2K context
- Q6 at 4K context
- Q6 at 8K 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.
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.
ASUS ROG -STRIX-RTX2070S-A8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon EXACT
$768.88
Check price on Amazon
GIGABYTE GV-N207SWF3OC-8GD graphics card NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon EXACT
$675.00
Check price on Amazon
ASUS Dual -RTX2070S-O8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Turbo -RTX2070S-8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Dual -RTX2070S-8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-O8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS Dual -RTX2070S-A8G-EVO NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
ASUS ROG -STRIX-RTX2070S-O8G-GAMING NVIDIA GeForce RTX 2070 SUPER 8 GB GDDR6
8 GB · Amazon unmatched
Sources
Model: official config microsoft/Phi-3.5-mini-instruct (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_WITH_LIMITED_CONTEXT. Amazon: affiliate commerce match, not a spec source.