Can RTX 3080 Ti run FLUX.1 Dev (GGUF)?
Yes — runs locally
~0 tok/sec · Cannot run — model too large for this GPU
The verdict
The RTX 3080 Ti (12 GB VRAM) handles FLUX.1 Dev (GGUF) comfortably using the Q5_0 quantization, which fits in 14.0 GB. Expected throughput is around 0 tokens/second, which feels Cannot run — model too large for this GPU in interactive use. Highest quality FLUX model. 20-50 steps. Mac with 24GB+ RAM.
How to run it
- 1. Install Ollama or LM Studio.
- 2. Pull the
Q5_0GGUF — best balance of quality and speed on 12 GB. - 3. Start chatting. Expect ~0 tok/sec on first-token, faster after warmup.
Other models that run great on RTX 3080 Ti
FAQ (20)
What GPU do I need to run FLUX.1 Dev (GGUF)?
To run FLUX.1 Dev (GGUF), you need a GPU with at least 14.0 GB of VRAM. The model is optimized for high-end GPUs to handle its 12B parameters efficiently.
Is FLUX.1 Dev (GGUF) good for coding?
FLUX.1 Dev (GGUF) is primarily designed for image generation and may not be the best choice for coding tasks. For coding, consider models specifically trained on code datasets.
FLUX.1 Dev (GGUF) vs Llama 3.1 8B?
FLUX.1 Dev (GGUF) has 12B parameters and is optimized for high-quality image generation, while Llama 3.1 8B is smaller and more versatile, suitable for a wider range of tasks including text generation.
Can I run FLUX.1 Dev (GGUF) on a Mac?
Yes, you can run FLUX.1 Dev (GGUF) on a Mac, but it requires a Mac with at least 24GB of RAM and a compatible GPU with 14.0 GB of VRAM.
How much VRAM does FLUX.1 Dev (GGUF) need?
FLUX.1 Dev (GGUF) requires 14.0 GB of VRAM, regardless of the quantization level used.
Is FLUX.1 Dev (GGUF) censored?
FLUX.1 Dev (GGUF) is not inherently censored, but its output can be controlled or filtered based on the application and settings used.
Is FLUX.1 Dev (GGUF) commercial-use allowed?
No, FLUX.1 Dev (GGUF) is licensed under the flux-1-dev-non-commercial license, which restricts its use to non-commercial purposes only.
FLUX.1 Dev (GGUF) context length?
The context length for FLUX.1 Dev (GGUF) is currently unknown. Check the official documentation or community forums for updates.
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