Can RTX 5090 run Qwen 2.5 Coder 7B?

Yes — runs locally

~114 tok/sec · Instant — feels like typing. No noticeable delay.

Your VRAM

32 GB

Model size

7.6B

Best quant

Q8_0

VRAM needed

8.0 GB

The verdict

The RTX 5090 (32 GB VRAM) handles Qwen 2.5 Coder 7B comfortably using the Q8_0 quantization, which fits in 8.0 GB. Expected throughput is around 114 tokens/second, which feels Instant — feels like typing. No noticeable delay. in interactive use. Strong 7B code model rivaling larger coding models. Excellent for local development.

Setup tutorial: Qwen 2.5 Coder 7B on RTX 5090

AI-generated, GPU-specific. Verified commands for your exact hardware.

TL;DR

Run Qwen 2.5 Coder 7B on an NVIDIA GeForce RTX 5090 with Q8_0 quantization for Grade S performance at ~164 tok/sec.

Prerequisites

Before starting, ensure you have at least 10GB of free disk space, a 64-bit version of Windows or Linux, and the latest NVIDIA drivers (version 525.60 or later) installed along with CUDA 11.8 or later.

Expected performance

With the Q8_0 quantization, you can expect the model to run at approximately 164 tokens per second, using 8.0GB of VRAM. The remaining 24.0GB of VRAM provides ample headroom for handling large context windows, enabling efficient processing of extensive codebases or complex programming tasks.

1. Install runtimeOllama

pip install ollama
ollama config set device cuda

2. Download the model

Download the Qwen 2.5 Coder 7B Q8_0 quantized model (7.5GB file) from Hugging Face.

ollama pull Qwen/Qwen2.5-Coder-7B-Instruct-GGUF:qwen2.5-coder-7b-instruct-q8_0.gguf

3. Run it

ollama run Qwen/Qwen2.5-Coder-7B-Instruct-GGUF:qwen2.5-coder-7b-instruct-q8_0.gguf --n-gpu-layers 128 --flash-attn --context-length 32768

4. Optimize for RTX 5090

For optimal performance on the NVIDIA GeForce RTX 5090 with 32GB VRAM, use --n-gpu-layers 128 to offload layers to the GPU, enable --flash-attn for faster attention computations, and set --context-length 32768 to utilize the full context window. With 8.0GB VRAM used for the model, you will have 24.0GB of VRAM available for context, allowing for very large input sequences.

Troubleshooting

Out of memory error during inference

Reduce the number of --n-gpu-layers or decrease the --context-length to fit within the available VRAM.

Slow token generation speed

Ensure that --flash-attn is enabled and that the latest NVIDIA drivers and CUDA are installed.

Model fails to load

Verify that the model file is correctly downloaded and not corrupted. Try re-downloading the model file.

Alternative runtimes

For users who prefer different runtimes, consider LM Studio for a more user-friendly interface, llama.cpp for low-level control, or Jan for a lightweight alternative. Ollama is recommended for its ease of use and performance on the NVIDIA GeForce RTX 5090.

Full Qwen 2.5 Coder 7B details →

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FAQ (20)

What GPU do I need to run Qwen 2.5 Coder 7B?

To run Qwen 2.5 Coder 7B, you need a GPU with at least 4.9 GB of VRAM, but 8.0 GB is recommended for better performance, especially with higher quantization levels.

Is Qwen 2.5 Coder 7B good for coding?

Yes, Qwen 2.5 Coder 7B is specifically designed for coding tasks and performs well in generating and understanding code, making it an excellent choice for local development.

Qwen 2.5 Coder 7B vs Llama 3.1 8B?

Qwen 2.5 Coder 7B has 7.6 billion parameters and is optimized for coding, while Llama 3.1 8B has more parameters and is more general-purpose. Qwen 2.5 Coder 7B may outperform Llama 3.1 8B in specialized coding tasks.

Can I run Qwen 2.5 Coder 7B on a Mac?

Yes, you can run Qwen 2.5 Coder 7B on a Mac, provided your Mac has a compatible GPU with sufficient VRAM (at least 4.9 GB).

How much VRAM does Qwen 2.5 Coder 7B need?

Qwen 2.5 Coder 7B requires between 4.9 GB and 8.0 GB of VRAM, depending on the quantization level used.

Is Qwen 2.5 Coder 7B censored?

Qwen 2.5 Coder 7B is not censored; however, it adheres to ethical guidelines and community standards to ensure responsible use.

Is Qwen 2.5 Coder 7B commercial-use allowed?

Yes, Qwen 2.5 Coder 7B is licensed under the Apache-2.0 license, which allows for both commercial and non-commercial use.

Qwen 2.5 Coder 7B context length?

Qwen 2.5 Coder 7B supports a context length of up to 32,768 tokens, allowing for handling large codebases and complex programming tasks.

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