Home / Models / Llama 3.3 70B Instruct / NVIDIA RTX 5060 Ti 8 GB
Can Llama 3.3 70B Instruct run on NVIDIA RTX 5060 Ti 8 GB?
No. Estimated memory for Llama 3.3 70B Instruct exceeds NVIDIA RTX 5060 Ti 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 5060 Ti 8 GB · 8 GB advertised
What else can NVIDIA RTX 5060 Ti 8 GB run? · Find other GPUs for Llama 3.3 70B Instruct · See 2× multi-GPU options
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.
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.
ASUS Dual -RTX5060TI-O8G NVIDIA GeForce RTX 5060 Ti 8 GB GDDR7
8 GB · Amazon EXACT
$608.55
Check price on Amazon
ASUS Prime -RTX5060TI-O8G NVIDIA GeForce RTX 5060 Ti 8 GB GDDR7
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.