§01·compatibility · /check
Qwen3 14B on RTX 3090
Yes — Qwen3 14B runs on the RTX 3090 (24 GB). Fastest community-measured result: 2459 prefill tokens/s, with 24 GB peak VRAM.
✓ runsllmactive30 series24GB VRAM
§02·benchmarks
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| llm | Q4_K | 2459prefill tokens/s | 24GB | ✓ | hardware-corner.net· web | 2026-05-15 | |
| llm | Q4_K | 70tokens/s | 24GB | ✓ | hardware-corner.net· web | 2026-05-15 |
§03·common questions
Can you run Qwen3 14B on RTX 3090?
Yes — Qwen3 14B runs on the RTX 3090 (24 GB). Fastest community-measured result: 2459 prefill tokens/s, with 24 GB peak VRAM.
How much VRAM does Qwen3 14B need on RTX 3090?
Measured peak VRAM is 24 GB.
Which quantizations have been tested for Qwen3 14B on RTX 3090?
Q4_K — measured in community benchmarks.
How fast is Qwen3 14B on RTX 3090?
Up to 2459 prefill tokens/s (llm), the fastest community-measured result.
Are there step-by-step instructions for Qwen3 14B on RTX 3090?
Yes — a step-by-step recipe documents Qwen3 14B on the RTX 3090; see the recipes listed below.
§04·related recipes
- llmbeginner10GB+
Qwen3-14B on RTX 3090: Q4_K_M GGUF via Ollama or llama.cpp
- llmbeginner12GB+
Qwen3-14B on RTX 4060 Ti 16GB: Q4_K_M GGUF via Ollama or llama.cpp
- llmintermediate9GB+
Qwen3-14B on Apple M2 Pro: the strongest LLM that fits a 16 GB unified-memory Mac, via MLX 4-bit
- llmbeginner9GB+
Qwen3-14B on RX 7800 XT: ROCm via Ollama or llama.cpp-HIP
- llmbeginner12GB+
Qwen3-14B on RTX 5060 Ti: Q4_K_M GGUF via Ollama or llama.cpp