Fits comfortably
Running RefinedNeuro RN TR R1 on NVIDIA GeForce RTX 5080
NVIDIA GeForce RTX 5080 runs RefinedNeuro RN TR R1 comfortably at Q4_K_M with 9 GB of headroom for context.
Model size
8B params
RefinedNeuro RN TR R1 →Memory available
Recommended quant
Q4_K_M
Highest quality that fits
Quick start with Ollama
1. Install
ollama pull RefinedNeuro/RN_TR_R1:latest2. Run
ollama run RefinedNeuro/RN_TR_R1:latestDefault quant in Ollama is Q4_K_M. To use a different quant, append it: RefinedNeuro/RN_TR_R1:latest-q5_K_M.
Variants and what fits
| Quantization | File size | VRAM required | Fits on NVIDIA GeForce RTX 5080? |
|---|---|---|---|
| Q4_K_M | 4.9 GB | 7 GB | Yes |
Real benchmarks
Frequently asked
Can NVIDIA GeForce RTX 5080 run RefinedNeuro RN TR R1?
NVIDIA GeForce RTX 5080 runs RefinedNeuro RN TR R1 comfortably at Q4_K_M with 9 GB of headroom for context.
What quantization should I use?
Q4_K_M is the highest-quality variant of RefinedNeuro RN TR R1 that fits in 16 GB VRAM. Lower-bit quants will be smaller but lose some quality.
How fast will it be?
Measured at 133.6 tok/s on this combination in our testing.
See also: RefinedNeuro RN TR R1, NVIDIA GeForce RTX 5080, all benchmarks.
Reviewed by RunLocalAI Editorial. See our editorial policy.