CodingAI Coding7.62B

Qwen 2.5 Coder 7B Instruct

Qwen · Apache 2.0

Specialized coding model optimized for AI-assisted development.

Parameters: 7.62B
Context: 32,768 tokens
Released: 2024-11-11
Engines: llama.cpp, ollama, vLLM, TGI
Builder Tools: Cursor, Continue, Aider, Windsurf

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 GeForce RTX 3060 12GB. On NVIDIA GeForce RTX 4090, expect approximately 90 tok/s at Q8_0. For the best experience, Starter AI Desktop ($582) is recommended.

— OwnRig methodology, data updated 2026-03-15

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

Performance data for Qwen 2.5 Coder 7B Instruct across different hardware.

Device	Quantization	Speed	Rating	Fits in VRAM
NVIDIA GeForce RTX 3060 12GB	Q5_K_M	36 tok/s	Good	✓
NVIDIA GeForce RTX 4060 Ti 16GB	Q5_K_M	52 tok/s	Excellent	✓
NVIDIA GeForce RTX 4090	Q8_0	90 tok/s	Excellent	✓
Apple M4 Pro (24GB Unified)	Q5_K_M	35 tok/s	Good	✓
NVIDIA GeForce RTX 5080	Q8_0	88 tok/s	Excellent	✓
NVIDIA GeForce RTX 4060 8GB	Q4_K_M	31 tok/s	Good	✓
NVIDIA GeForce RTX 4070 Ti 12GB	Q5_K_M	49 tok/s	Excellent	✓
NVIDIA GeForce RTX 3080 10GB	Q5_K_M	50 tok/s	Excellent	✓
Apple M3 Pro (18GB Unified)	Q4_K_M	15 tok/s	Acceptable	✓

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 GeForce RTX 4090 delivers the best performance for Qwen 2.5 Coder 7B Instruct, achieving 90 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. Last updated: 2026-03-15. Source

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

KV Cache

Total VRAM

102 MB

6.7 GB

307 MB

6.9 GB

512 MB

7.1 GB

16K

1 GB

7.6 GB

32K

2 GB

8.6 GB

Device

Quantization

Speed

Rating

Fits in VRAM

NVIDIA GeForce RTX 3060 12GB

Q5_K_M

36 tok/s

Good

✓

NVIDIA GeForce RTX 4060 Ti 16GB

Q5_K_M

52 tok/s

Excellent

✓

NVIDIA GeForce RTX 4090

Q8_0

90 tok/s

Excellent

✓

Apple M4 Pro (24GB Unified)

Q5_K_M

35 tok/s

Good

✓

NVIDIA GeForce RTX 5080

Q8_0

88 tok/s

Excellent

✓

NVIDIA GeForce RTX 4060 8GB

Q4_K_M

31 tok/s

Good

✓

NVIDIA GeForce RTX 4070 Ti 12GB

Q5_K_M

49 tok/s

Excellent

✓

NVIDIA GeForce RTX 3080 10GB

Q5_K_M

50 tok/s

Excellent

✓

Apple M3 Pro (18GB Unified)

Q4_K_M

15 tok/s

Acceptable

✓

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 GeForce RTX 4090 delivers the best performance for Qwen 2.5 Coder 7B Instruct, achieving 90 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.