Qwen 2.5 Coder 3B is a powerful code generation model developed by Alibaba, designed to assist developers in generating high-quality code snippets across various programming languages. With 3 billion parameters, this model offers a robust context length of 32,768 tokens, making it well-suited for handling complex coding tasks and maintaining context over long sequences. It excels in generating code that is both syntactically correct and functionally relevant, which is particularly useful for tasks like completing code blocks, generating documentation, and even debugging.
In its size class, Qwen 2.5 Coder 3B punches well above its weight. Despite having fewer parameters than some larger models, it maintains impressive efficiency and performance, especially when considering its relatively low VRAM requirements of 2.5–3.9 GB. This makes it an excellent choice for developers working on machines with moderate GPU resources, ensuring that the model can be deployed locally without significant hardware investment. The availability of quantizations like Q4_K_M and Q8_0 further enhances its efficiency, making it suitable for a wide range of devices, from high-end workstations to more modest setups. Developers looking for a reliable, efficient, and powerful code generation tool should consider Qwen 2.5 Coder 3B, as it strikes a balance between performance and resource consumption.
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 1.96 GB | 2.46 GB | 2.96 GB | 85% |
| Q8_0 | 8 | 3.368 GB | 3.87 GB | 4.37 GB | 98% |
Context window & KV cache
Adds 0.66 GB to VRAMLong chats and RAG inputs cost real memory. Drag to see how 32K vs 128K context shifts your grade.
Model native max: 32K tokens. KV-cache estimate is approximate (±30 %); real usage depends on attention layout.
How to run Qwen 2.5 Coder 3B
Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.
Easiest. Single command. OpenAI-compatible API on :11434.
Ollama home →- 1
Pull the model
ollama pull qwen2.5-coder:3b - 2
Chat
ollama run qwen2.5-coder:3b - 3
Use as API
curl http://localhost:11434/api/chat \ -d '{"model":"qwen2.5-coder:3b","messages":[{"role":"user","content":"Hi"}]}'
Community benchmarks
Real tokens/sec reports from people running Qwen 2.5 Coder 3B on actual hardware.
No community runs yet for this model. Be the first to submit your numbers.
Self-host serving plan
Want to host Qwen 2.5 Coder 3Bfor many users? Or run it on a card that’s technically too small? Slide the knobs.
VRAM needed
3.4 GB
2.5 GB weights + 0.4 GB KV
Aggregate tok/s
83
across 1 user
Per-user tok/s
83
3 B dense
✅ Fits in 24 GB VRAM with 20.6 GB headroom. Pure-GPU inference — full speed.
Throughput is a sub-linear estimate: doubling users adds ~70 % of single-user TPS until ~8, then plateaus on memory bandwidth. MoE models scale concurrency much better because each user activates a different subset of experts.
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
how much VRAM do I need to run Qwen 2.5 Coder 3B?
Qwen 2.5 Coder 3B requires 2.46 GB VRAM minimum with Q4_K_M quantization. For full precision you need 3.87 GB.
which quant should I pick?
Q4_K_M is the best quality/VRAM balance — ~92% of FP16 quality at ~25% the footprint. Q8_0 is near-lossless if you have the headroom.
What GPU do I need to run Qwen 2.5 Coder 3B?
To run Qwen 2.5 Coder 3B, you need a GPU with at least 2.5 GB of VRAM. For optimal performance, a GPU with 3.9 GB or more is recommended.
Is Qwen 2.5 Coder 3B good for coding?
Yes, Qwen 2.5 Coder 3B is specifically designed for coding tasks and offers a good balance between coding ability and resource usage.
Qwen 2.5 Coder 3B vs Llama 3.1 8B?
Qwen 2.5 Coder 3B has 3 billion parameters and is optimized for coding, while Llama 3.1 8B has 8 billion parameters and is more general-purpose. Qwen 2.5 Coder 3B is more lightweight and efficient for coding tasks.
Can I run Qwen 2.5 Coder 3B on a Mac?
Yes, you can run Qwen 2.5 Coder 3B on a Mac with an M1 or later chip, provided you have the necessary VRAM and system resources.
How much VRAM does Qwen 2.5 Coder 3B need?
Qwen 2.5 Coder 3B requires between 2.5 GB and 3.9 GB of VRAM, depending on the quantization level used.
Is Qwen 2.5 Coder 3B censored?
No, Qwen 2.5 Coder 3B is not censored, but it adheres to ethical guidelines and may filter out inappropriate content.
Is Qwen 2.5 Coder 3B commercial-use allowed?
Yes, Qwen 2.5 Coder 3B is licensed under the Apache-2.0 license, which allows for commercial use.
Qwen 2.5 Coder 3B context length?
Qwen 2.5 Coder 3B supports a context length of up to 32,768 tokens, allowing for handling long sequences of text.
Does Qwen 2.5 Coder 3B support function calling?
Yes, Qwen 2.5 Coder 3B supports function calling, enabling it to interact with external systems and APIs.
Qwen 2.5 Coder 3B quantization options?
Qwen 2.5 Coder 3B supports various quantization options, including 8-bit, 4-bit, and 2-bit, to reduce memory usage and improve performance.
Can Qwen 2.5 Coder 3B run on CPU?
Yes, Qwen 2.5 Coder 3B can run on a CPU, but it will be significantly slower compared to running on a GPU.
Qwen 2.5 Coder 3B fine-tuning?
Qwen 2.5 Coder 3B can be fine-tuned on your own data to improve its performance on specific tasks or domains.
Qwen 2.5 Coder 3B system requirements?
Qwen 2.5 Coder 3B requires at least 2.5 GB of VRAM, 8 GB of RAM, and a modern CPU. For optimal performance, a GPU with 3.9 GB or more VRAM is recommended.
Qwen 2.5 Coder 3B performance benchmark?
Qwen 2.5 Coder 3B processes around 100-200 tokens per second on a mid-range GPU, making it suitable for real-time coding assistance.
Qwen 2.5 Coder 3B for RAG?
Qwen 2.5 Coder 3B can be used for Retrieval-Augmented Generation (RAG) tasks, enhancing its ability to generate accurate and contextually relevant code.
Qwen 2.5 Coder 3B for agents?
Qwen 2.5 Coder 3B can be integrated into agent-based systems to provide coding assistance and automate development tasks.
Qwen 2.5 Coder 3B for coding vs general?
Qwen 2.5 Coder 3B is optimized for coding tasks, offering better performance and accuracy in generating code compared to general-purpose models.
Qwen 2.5 Coder 3B vs ChatGPT?
Qwen 2.5 Coder 3B is specifically designed for coding and has a smaller model size (3B parameters) compared to ChatGPT, which is more general-purpose and larger (e.g., 175B parameters).
Qwen 2.5 Coder 3B download size?
The download size of Qwen 2.5 Coder 3B varies depending on the quantization level, ranging from approximately 1.5 GB to 3 GB.
Best quant for Qwen 2.5 Coder 3B?
The best quantization level for Qwen 2.5 Coder 3B depends on your hardware. For most users, 4-bit quantization offers a good balance between performance and resource usage.