Home / Models / Hermes 3 Llama 3.1 8B / NVIDIA RTX 2080 SUPER 8 GB

Calculated memory fit · not a benchmark

Can Hermes 3 Llama 3.1 8B run on NVIDIA RTX 2080 SUPER 8 GB?

Yes. Calculated memory fit: Hermes 3 Llama 3.1 8B can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Hermes 3 Llama 3.1 8B · 8.0B
GPU
NVIDIA RTX 2080 SUPER 8 GB · 8 GB advertised

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights4.7 GB
KV cache1.0 GB
Runtime reserve0.7 GB
Safety margin0.4 GB
Required (estimated)6.8 GB
GPU usable VRAM7.2 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K64K128K
BF16OffloadOffloadOffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsLimited contextLimited contextLimited context
Q4FitsFitsFitsLimited contextLimited contextLimited contextLimited context
Q5FitsLimited contextLimited contextLimited contextLimited contextLimited contextLimited context
Q6OffloadOffloadOffloadOffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffloadOffloadOffloadOffload

What fits entirely in VRAM?

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.

Sources

Model: official config NousResearch/Hermes-3-Llama-3.1-8B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.