MetaLlama 3.2 1B Instruct on NVIDIA GeForce RTX 5060 8GB
Yes — RTX 5060 8GB runs Llama 3.2 1B Instruct excellently at Q8_0 — 109 tok/s. 8 GB VRAM with plenty of headroom.
Model Size
1.24B
Device VRAM
8 GB
Bandwidth
448 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 3.2 1B Instruct on NVIDIA GeForce RTX 5060 8GB at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 109 tok/s | 60ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
1.24B model. Q8_0 1.5GB fits easily. Near-instant for 8GB. Estimated for rtx-5060-8gb; verify with community benchmarks.
About Llama 3.2 1B Instruct
Llama 3.2 1B Instruct (1.24B) is a chat, coding model. The smallest Llama model. Runs on integrated GPUs and even CPUs. Useful for basic classification, simple Q&A, and as a draft model for speculative decoding. Limited reasoning capability.
View all Llama 3.2 1B Instruct hardware options →About NVIDIA GeForce RTX 5060 8GB
NVIDIA GeForce RTX 5060 8GB has 8 GB at 448 GB/s. Street price: $299.
See all models NVIDIA GeForce RTX 5060 8GB can run →Estimate method: Estimated from rtx-4060-8gb matrix rows scaled for rtx-5060-8gb memory bandwidth (Ada Gate A methodology). Reference hardware source: nvidia.com (2026-05-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.