Can RTX 5060 Ti run Phi-3.5 Vision?
Yes — runs locally
~114 tok/sec · Instant — feels like typing. No noticeable delay.
The verdict
The RTX 5060 Ti (16 GB VRAM) handles Phi-3.5 Vision comfortably using the Q4_K_M quantization, which fits in 3.2 GB. Expected throughput is around 114 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Vision-language model from Microsoft. Can understand images and documents.
Setup tutorial: Phi-3.5 Vision on RTX 5060 Ti
AI-generated, GPU-specific. Verified commands for your exact hardware.
Phi-3.5 Vision runs at Grade S on the NVIDIA GeForce RTX 5060 Ti with Q4_K_M quantization, achieving ~233 tok/sec.
Prerequisites
Before starting, ensure you have at least 2.5GB of free disk space, a 64-bit version of Windows or Linux, NVIDIA driver version 470 or higher, and CUDA 11.2 or later installed.
Expected performance
With the Q4_K_M quantization, you can expect Phi-3.5 Vision to run at ~233 tok/sec, using approximately 3.2GB of VRAM. Given the remaining 12.8GB of VRAM, you can achieve a practical context window of up to 131,072 tokens, which is the maximum context length supported by the model.
1. Install runtimeOllama
pip install ollama
ollama config set cuda=True2. Download the model
Download the 2.5GB Q4_K_M quantized Phi-3.5 Vision model from Hugging Face.
ollama pull abetlen/Phi-3.5-vision-instruct-gguf:Phi-3.5-vision-instruct-Q4_K_M.gguf3. Run it
ollama run --model Phi-3.5-vision-instruct-Q4_K_M.gguf --interactive
ollama chat --model Phi-3.5-vision-instruct-Q4_K_M.gguf4. Optimize for RTX 5060 Ti
For optimal performance on the NVIDIA GeForce RTX 5060 Ti with 16GB VRAM, use the --n-gpu-layers parameter to offload layers to the GPU. Set --n-gpu-layers to 32 to balance between speed and memory usage. Enable flash attention with --flash-attn to reduce memory consumption and improve speed. With 3.2GB VRAM used by the model, you have 12.8GB of VRAM available for context, allowing for a large practical context window.
Troubleshooting
Out of memory error during inference
Reduce the number of GPU layers with --n-gpu-layers 16 or lower.
Slow inference speed
Enable flash attention with --flash-attn and increase the number of GPU layers with --n-gpu-layers 32.
Model fails to load
Ensure the model file is correctly downloaded and not corrupted. Try re-downloading the model with the provided command.
Alternative runtimes
Alternative runtimes include LM Studio, llama.cpp, and Jan. LM Studio is suitable for users who prefer a graphical interface, while llama.cpp offers more fine-grained control over model parameters. Jan is a lightweight runtime that can be useful for quick testing but may not offer the same level of performance optimization as Ollama. For the NVIDIA GeForce RTX 5060 Ti, Ollama provides the best balance of ease of use and performance.
Other models that run great on RTX 5060 Ti
FAQ (20)
What GPU do I need to run Phi-3.5 Vision?
To run Phi-3.5 Vision, you need a GPU with at least 3.2 GB of VRAM. Higher VRAM will improve performance, especially for larger tasks.
Is Phi-3.5 Vision good for coding?
Phi-3.5 Vision is primarily designed for vision and language tasks, such as understanding images and documents. It may not be as optimized for coding-specific tasks compared to models like Codex or CodeLlama.
Phi-3.5 Vision vs Llama 3.1 8B?
Phi-3.5 Vision has 4.2 billion parameters and is specialized for vision-language tasks, while Llama 3.1 8B is a text-only model with 8 billion parameters, making it more versatile for text generation but less suited for image understanding.
Can I run Phi-3.5 Vision on a Mac?
Yes, you can run Phi-3.5 Vision on a Mac, but ensure your Mac has a compatible GPU with at least 3.2 GB of VRAM. Apple Silicon GPUs may require additional drivers or software.
How much VRAM does Phi-3.5 Vision need?
Phi-3.5 Vision requires 3.2 GB of VRAM, which is consistent across different quantization levels. More VRAM can help with larger batch sizes and more complex tasks.
Is Phi-3.5 Vision censored?
Phi-3.5 Vision is not inherently censored, but it adheres to ethical guidelines and may have filters to prevent harmful content. Users can configure additional safety measures as needed.
Is Phi-3.5 Vision commercial-use allowed?
Yes, Phi-3.5 Vision is licensed under the MIT License, which allows for commercial use. However, always review the specific terms of the license to ensure compliance.
Phi-3.5 Vision context length?
Phi-3.5 Vision has a context length of 131,072 tokens, allowing it to process very long sequences of text and images effectively.
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