Home / Models / DeepSeek R1 Distill Llama 70B / NVIDIA Quadro 4000 8 GB
Can DeepSeek R1 Distill Llama 70B run on NVIDIA Quadro 4000 8 GB?
No. Estimated memory for DeepSeek R1 Distill Llama 70B exceeds NVIDIA Quadro 4000 8 GB, including the modeled offload allowance.
Can it run?
- Can it run?
- No (calculated estimate).
- Full GPU fit?
- No
- Model
- DeepSeek R1 Distill Llama 70B · 71B
- GPU
- NVIDIA Quadro 4000 8 GB · 8 GB advertised
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 41.4 GB |
|---|---|
| KV cache | 2.5 GB |
| Runtime reserve | 2.6 GB |
| Safety margin | 1.5 GB |
| Required (estimated) | 48.0 GB |
| GPU usable VRAM | 7.2 GB |
Result: DOES NOT FIT
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 64K | 128K |
|---|---|---|---|---|---|---|---|
| BF16 | No | No | No | No | No | No | No |
| FP16 | No | No | No | No | No | No | No |
| Q3 | No | No | No | No | No | No | No |
| Q4 | No | No | No | No | No | No | No |
| Q5 | No | No | No | No | No | No | No |
| Q6 | No | No | No | No | No | No | No |
| Q8 | No | No | No | No | No | No | No |
What fits entirely in VRAM?
No calculated full-VRAM fit at the evaluated quantizations and context lengths.
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 NVIDIA Quadro RTX 4000 8GB (3)DP+USBc Quadro 4000 GDDR6
8 GB · Amazon EXACT
$445.00
Check price on AmazonSources
Model: official config deepseek-ai/DeepSeek-R1-Distill-Llama-70B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.