§01·compatibility · /check
Qwen3 14B on RTX 3090 Ti
Yes — Qwen3 14B runs on the RTX 3090 Ti (24 GB). Fastest community-measured result: 2817.1 prefill tokens/s, with 24 GB peak VRAM.
✓ runsllmactive30 series24GB VRAM
§02·benchmarks
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| llm | Q4_K | 2817.1prefill tokens/s | 24GB | ✓ | hardware-corner.net· web | 2026-05-15 | |
| llm | Q4_K | 76.2tokens/s | 24GB | ✓ | hardware-corner.net· web | 2026-05-15 |
§03·common questions
Can you run Qwen3 14B on RTX 3090 Ti?
Yes — Qwen3 14B runs on the RTX 3090 Ti (24 GB). Fastest community-measured result: 2817.1 prefill tokens/s, with 24 GB peak VRAM.
How much VRAM does Qwen3 14B need on RTX 3090 Ti?
Measured peak VRAM is 24 GB.
Which quantizations have been tested for Qwen3 14B on RTX 3090 Ti?
Q4_K — measured in community benchmarks.
How fast is Qwen3 14B on RTX 3090 Ti?
Up to 2817.1 prefill tokens/s (llm), the fastest community-measured result.
Are there step-by-step instructions for Qwen3 14B on RTX 3090 Ti?
Yes — a step-by-step recipe documents Qwen3 14B on the RTX 3090 Ti; see the recipes listed below.
§04·related recipes
- llmbeginner10GB+
Qwen3-14B on RTX 3090 Ti: 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