§01·compatibility · /check
Llama 3.1 8B on RTX 3060 Ti
Yes — Llama 3.1 8B runs on the RTX 3060 Ti (8 GB). Fastest community-measured result: 57.34 tokens/s, with 8 GB peak VRAM.
✓ runsllmactive30 series8GB VRAM
§02·benchmarks
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| llm | 4 | 57.34tokens/s | 8GB | ✓ | databasemart.com· web | 2026-05-15 |
§03·common questions
Can you run Llama 3.1 8B on RTX 3060 Ti?
Yes — Llama 3.1 8B runs on the RTX 3060 Ti (8 GB). Fastest community-measured result: 57.34 tokens/s, with 8 GB peak VRAM.
How much VRAM does Llama 3.1 8B need on RTX 3060 Ti?
Measured peak VRAM is 8 GB.
Which quantizations have been tested for Llama 3.1 8B on RTX 3060 Ti?
4 — measured in community benchmarks.
How fast is Llama 3.1 8B on RTX 3060 Ti?
Up to 57.34 tokens/s (llm), the fastest community-measured result.
Are there step-by-step instructions for Llama 3.1 8B on RTX 3060 Ti?
Yes — a step-by-step recipe documents Llama 3.1 8B on the RTX 3060 Ti; see the recipes listed below.
§04·related recipes
- llmbeginner8GB+
Llama 3.1 8B on RTX 3060 Ti: Local Chat via Ollama or llama.cpp + Unsloth UD-Q4_K_XL GGUF
- llmbeginner5GB+
Llama 3.1 8B on Apple M2 Pro: your first local LLM in 16 GB unified memory with MLX
- llmbeginner5GB+
Llama 3.1 8B on Apple M3 Max: the easy local-LLM on-ramp in unified memory with MLX
- llmbeginner5GB+
Llama 3.1 8B on Apple M4 Max: the easy local-LLM on-ramp in unified memory with MLX
- llmbeginner5GB+
Llama 3.1 8B on Apple M2 Max: the easy local-LLM on-ramp in unified memory with MLX