Qwen 2.5 Coder 7B Instruct
Qwen · Apache 2.0
Specialized coding model optimized for AI-assisted development.
- Parameters
- 7.62B
- Architecture
- Dense
- Context
- 32,768 tokens
- Released
- 2024-11-11
- Engines
- llama.cpp, ollama, vLLM, TGI
- Builder Tools
- Cursor, Continue, Aider, Windsurf
Parameters
7.62B
VRAM
6.6 GB
Context
32K
Formats
4
GPUs
33
Qwen 2.5 Coder 7B Instruct (7.62B) requires 6.6 GB VRAM at recommended quality (Q6_K). At efficient quality (Q4_K_M), it fits in 4.4 GB VRAM, making it compatible with the NVIDIA RTX 4060 Laptop (40-60W). On NVIDIA Grace Blackwell Ultra GB300, expect approximately 360 tok/s at Q8_0. For the best experience, Starter AI Desktop ($582) is recommended.
Source: OwnRig methodology
6.6 GB
Q6_K
5.8 GB
32K tokens
Coding
VRAM Requirements
| Quality | Quantization | VRAM | File Size |
|---|---|---|---|
| full | Q8_0 | 8.5 GB | 7.5 GB |
| recommended | Q6_K | 6.6 GB | 5.8 GB |
| recommended | Q5_K_M | 5.5 GB | 4.8 GB |
| efficient | Q4_K_M | 4.4 GB | 3.8 GB |
Context Length Impact
KV cache VRAM at Q6_K quality. Longer context = more memory.
| Context | KV Cache | Total VRAM |
|---|---|---|
| 2K | 102 MB | 6.7 GB |
| 4K | 307 MB | 6.9 GB |
| 8K | 512 MB | 7.1 GB |
| 16K | 1 GB | 7.6 GB |
| 32K | 2 GB | 8.6 GB |
Compatible GPUs
33 devicesShowing 33 of 33 entries
Builder Context
Qwen 2.5 Coder 7B Instruct is commonly used with Cursor, Continue, Aider, Windsurf. For an AI coding workflow, pair it with an embedding model like nomic-embed-text for local RAG.
Frequently Asked Questions
- How much VRAM does Qwen 2.5 Coder 7B Instruct need?
- Qwen 2.5 Coder 7B Instruct requires 6.6 GB VRAM at recommended quality (Q6_K). At lower quality settings, it can fit in as little as 4.4 GB.
- What is the best GPU for Qwen 2.5 Coder 7B Instruct?
- The NVIDIA Grace Blackwell Ultra GB300 delivers the best performance for Qwen 2.5 Coder 7B Instruct, achieving 360 tok/s at Q8_0 with an excellent rating.
- Can I run Qwen 2.5 Coder 7B Instruct on an RTX 4060 Ti?
- Yes. On the NVIDIA GeForce RTX 4060 Ti 16GB, Qwen 2.5 Coder 7B Instruct runs at 52 tok/s (Q5_K_M, excellent).
- What quantization should I use for Qwen 2.5 Coder 7B Instruct?
- For the best quality, use Q6_K (6.6 GB VRAM). If your GPU has limited VRAM, Q4_K_M (4.4 GB) is the most efficient option with acceptable quality.
- Is Qwen 2.5 Coder 7B Instruct good for coding?
- Yes. Qwen 2.5 Coder 7B Instruct is used with Cursor, Continue, Aider, Windsurf for local AI coding. For the best coding experience, pair it with an embedding model for local RAG.
Data confidence: estimated. Source
VRAM requirements are calculated from model parameters and may vary by inference engine, context length, and batch size. Performance estimates are based on community benchmarks and should be verified for your specific configuration.Qwen is a trademark of its respective owner. OwnRig is not affiliated with or endorsed by the model creator.