Can I Run Qwen3-Coder 8B on NVIDIA GeForce RTX 4060?

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

作者： Jakub Rusinowski · 最后更新： 2026年9月19日

Yes. Qwen3-Coder 8B needs 4.8 GB at Q4_K_M and the NVIDIA GeForce RTX 4060 has 8 GB, leaving about 3.2 GB of headroom, at roughly 42 tok/s (estimated) with room for up to 8K of context.

See what else this hardware can run →

The numbers

Model	Qwen3-Coder 8B
Parameters	8B
Quantization	Q4_K_M
VRAM needed	4.8 GB
NVIDIA GeForce RTX 4060 VRAM	8 GB
Verdict	Runs
Max context	8K
Estimated speed	~42 tok/s

Qwen3-Coder 8B on the NVIDIA GeForce RTX 4060: VRAM by quantization

Quant	VRAM needed	Fits 8 GB?	Max context	Whole PC
F16	17.4 GB	✗ No	—	—
Q8_0	9.9 GB	✗ No	—	—
Q6_K	7.9 GB	✓ Yes	4K	—
Q5_K_M	7 GB	✓ Yes	8K	—
Q4_K_M	6.2 GB	✓ Yes	16K	—
Q3_K_M	4.8 GB	✓ Yes	16K	—
Q2_K	4 GB	✓ Yes	32K	—

Assumes a 4K-token context with an f16 KV cache, on an estimated architecture — this model publishes no config we can read. A longer window needs more; a quantized KV cache needs less. “Max context” is the largest window that still fits in 8 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.

Context costs VRAM too. At Q4_K_M on the NVIDIA GeForce RTX 4060: 8K 6.8 GB · 32K 10.2 GB ✗ · 125K 23.5 GB ✗. Past 32K it no longer fits 8 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.