Fits comfortably
Running Hermes 3 Llama 3.1 8B on NVIDIA GeForce RTX 3080 16GB (Mobile)
NVIDIA GeForce RTX 3080 16GB (Mobile) runs Hermes 3 Llama 3.1 8B comfortably at Q8_0 with 6 GB of headroom for context.
Model size
8B params
Hermes 3 Llama 3.1 8B →Memory available
Recommended quant
Q8_0
Highest quality that fits
Quick start with Ollama
1. Install
ollama pull hermes3:8b2. Run
ollama run hermes3:8bDefault quant in Ollama is Q4_K_M. To use a different quant, append it: hermes3:8b-q5_K_M.
Variants and what fits
| Quantization | File size | VRAM required | Fits on NVIDIA GeForce RTX 3080 16GB (Mobile)? |
|---|---|---|---|
| Q4_K_M | 4.9 GB | 6 GB | Yes |
| Q8_0 | 8.5 GB | 10 GB | Yes |
Real benchmarks
Frequently asked
Can NVIDIA GeForce RTX 3080 16GB (Mobile) run Hermes 3 Llama 3.1 8B?
NVIDIA GeForce RTX 3080 16GB (Mobile) runs Hermes 3 Llama 3.1 8B comfortably at Q8_0 with 6 GB of headroom for context.
What quantization should I use?
Q8_0 is the highest-quality variant of Hermes 3 Llama 3.1 8B that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.
How fast will it be?
Measured at 81.5 tok/s on this combination in our testing.
See also: Hermes 3 Llama 3.1 8B, NVIDIA GeForce RTX 3080 16GB (Mobile), all benchmarks.
Reviewed by RunLocalAI Editorial. See our editorial policy.