Home / Models / Hermes 3 Llama 3.1 70B / NVIDIA RTX 5000 32 GB
Can Hermes 3 Llama 3.1 70B run on NVIDIA RTX 5000 32 GB?
Can it run? Yes, with CPU/RAM offload. Full GPU fit? No.
Can it run?
- Can it run?
- Yes, with CPU/RAM offload. This is not equivalent to full-GPU inference.
- Full GPU fit?
- No
- Model
- Hermes 3 Llama 3.1 70B · 71B
- GPU
- NVIDIA RTX 5000 32 GB · 32 GB advertised
What else can NVIDIA RTX 5000 32 GB run? · Find other GPUs for Hermes 3 Llama 3.1 70B · 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 | 28.8 GB |
Result: CPU RAM OFFLOAD REQUIRED
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 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q4 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q5 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| Q6 | Offload | Offload | Offload | Offload | Offload | Offload | Offload |
| 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?
Weights may run with CPU/RAM offload. That is not equivalent to full-GPU inference. Performance numbers below are only published for full-VRAM fits.
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.
Sources
Model: official config NousResearch/Hermes-3-Llama-3.1-70B (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.