Home / Models / Vicuna 13B v1.5 / NVIDIA RTX 6000 24 GB
Can Vicuna 13B v1.5 run on NVIDIA RTX 6000 24 GB?
Yes. Calculated memory fit: Vicuna 13B v1.5 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
- Vicuna 13B v1.5 · 13B
- GPU
- NVIDIA RTX 6000 24 GB · 24 GB advertised
Memory calculation
Breakdown for Q4 at 4K context, batch size 1. Calculator v1.0.0.
| Model weights | 7.6 GB |
|---|---|
| KV cache | 3.1 GB |
| Runtime reserve | 0.9 GB |
| Safety margin | 0.5 GB |
| Required (estimated) | 12.1 GB |
| GPU usable VRAM | 21.6 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K |
|---|---|---|
| BF16 | Offload | Offload |
| FP16 | Offload | Offload |
| Q3 | Fits | Fits |
| Q4 | Fits | Fits |
| Q5 | Fits | Fits |
| Q6 | Fits | Fits |
| Q8 | Fits | Fits |
What fits entirely in VRAM?
- Q3 at 2K context
- Q3 at 4K context
- Q4 at 2K context
- Q4 at 4K context
- Q5 at 2K context
- Q5 at 4K context
- Q6 at 2K context
- Q6 at 4K context
- Q8 at 2K context
- Q8 at 4K 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.
HP 5JH80AA graphics card NVIDIA Quadro RTX 6000 24 GB GDDR6
24 GB · Amazon unmatched
Sources
Model: official config lmsys/vicuna-13b-v1.5 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.