Home / Models / Vicuna 7B v1.5 / NVIDIA RTX A1000 8 GB
Can Vicuna 7B v1.5 run on NVIDIA RTX A1000 8 GB?
Yes. Calculated memory fit: Vicuna 7B 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 7B v1.5 · 6.7B
- GPU
- NVIDIA RTX A1000 8 GB · 8 GB advertised
What else can NVIDIA RTX A1000 8 GB run? · Find other GPUs for Vicuna 7B v1.5
Memory calculation
Breakdown for Q4 at 4K context, batch size 1. Calculator v1.0.0.
| Model weights | 4.0 GB |
|---|---|
| KV cache | 2.0 GB |
| Runtime reserve | 0.7 GB |
| Safety margin | 0.4 GB |
| Required (estimated) | 7.0 GB |
| GPU usable VRAM | 7.2 GB |
Result: FITS IN VRAM
Quantization table
| Quantization | 2K | 4K |
|---|---|---|
| BF16 | Offload | Offload |
| FP16 | Offload | Offload |
| Q3 | Fits | Fits |
| Q4 | Fits | Fits |
| Q5 | Fits | Limited context |
| Q6 | Offload | Offload |
| Q8 | Offload | Offload |
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
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.
Lenovo 4X61Q73041 graphics card NVIDIA RTX A1000 8 GB GDDR6
8 GB · Amazon EXACT
$498.99
Check price on Amazon
HP NVIDIA RTX A1000 8 GB with Mini Bracket 4mDP Graphics
8 GB · Amazon EXACT
$834.00
Check price on AmazonSources
Model: official config lmsys/vicuna-7b-v1.5 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 4K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.