Home / Models / Llama 3.3 70B Instruct / NVIDIA RTX 4000 8 GB
Can Llama 3.3 70B Instruct run on NVIDIA RTX 4000 8 GB?
No. Estimated memory for Llama 3.3 70B Instruct exceeds NVIDIA RTX 4000 8 GB, including the modeled offload allowance.
Can it run?
- Can it run?
- No (calculated estimate).
- Full GPU fit?
- No
- Model
- Llama 3.3 70B Instruct · 71B
- GPU
- NVIDIA RTX 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.
Lenovo 4X60Z97113 graphics card NVIDIA Quadro RTX 4000 8 GB GDDR6
8 GB · Amazon unmatched
Fujitsu S26361-F2222-L405 graphics card NVIDIA Quadro RTX 4000 8 GB GDDR6
8 GB · Amazon unmatched
Sources
Model: official config meta-llama/Llama-3.3-70B-Instruct (official-fallback-config). 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.