§01·compatibility · /check
Qwen3-8B on RTX 3060
Yes — Qwen3-8B runs on the RTX 3060 (12 GB). Fastest community-measured generation speed: 55.2 tokens/s.
✓ runsllmactive30 series12GB VRAM
step-by-step recipe for this pair
Qwen3-8B on RTX 3060 12GB: Q4_K_M GGUF via Ollama or llama.cpp
llmbeginner12GB+
§02·benchmarks
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| llm | Q4_K | 55.2tokens/s | ✓ | hardware-corner.net· web | 2026-06-13 | ||
| llm | Q4_K | 1696.8prefill tokens/s | ✓ | hardware-corner.net· web | 2026-06-13 |
§03·how it was measured
- llmQ4_K55.2 tokens/s
Token generation @ 4K (Hardware Corner RTX 3060 12GB; Q4_K ladder 55.2/42.0/31.9 tok/s @ 4K/16K/32K)
recorded from hardware-corner.net ↗ · verified 2026-06-13
- llmQ4_K1696.8 prefill tokens/s
Prompt processing @ 4K (Hardware Corner RTX 3060 12GB; 1696.8/1119.2/764.7 @ 4K/16K/32K)
recorded from hardware-corner.net ↗ · verified 2026-06-13
§04·more Qwen3-8B recipes
- llmbeginner5GB+
Qwen3-8B on Apple M2 Pro: local 8B chat with MLX 4-bit in 16 GB unified memory
- llmbeginner9GB+
Qwen3-8B on RX 7800 XT: 16 GB ROCm via Ollama or llama.cpp-HIP GGUF
- llmbeginner6GB+
Qwen3-8B on RX 7900 XTX: ROCm via Ollama or llama.cpp-HIP
- llmbeginner12GB+
Qwen3-8B on RTX 3080 Ti 12GB: Q4_K_M GGUF via Ollama or llama.cpp
§05·common questions
Can you run Qwen3-8B on RTX 3060?
Yes — Qwen3-8B runs on the RTX 3060 (12 GB). Fastest community-measured generation speed: 55.2 tokens/s.
Which quantizations have been tested for Qwen3-8B on RTX 3060?
Q4_K — measured in community benchmarks.
How fast is Qwen3-8B on RTX 3060?
Up to 55.2 tokens/s (llm), the fastest community-measured generation speed.
Are there step-by-step instructions for Qwen3-8B on RTX 3060?
Yes — a step-by-step recipe documents Qwen3-8B on the RTX 3060, linked at the top of this page.