Can I run Qwen2.5-7B-Instruct on an RTX 4060?

Yes, with a GGUF version

The published weights are too big, but the Q6_K file from Qwen/Qwen2.5-7B-Instruct-GGUF (6.25 GB) fits, with room for ≈ 16K tokens of context.

Full analysis of Qwen2.5-7B-Instruct Everything that runs on RTX 4060 Get the Q6_K file on Hugging Face

llama-server -hf Qwen/Qwen2.5-7B-Instruct-GGUF:Q6_K

Files and context on RTX 4060

Each file of Qwen2.5-7B-Instruct (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

File	Size	On RTX 4060	Context (16-bit)	Context (8-bit)
As published	15.2 GB	Doesn't fit	—	—
qwen2.5-7b-instruct-fp16Qwen/Qwen2.5-7B-Instruct-GGUF	15.2 GB	Doesn't fit	—	—
Q8_0Qwen/Qwen2.5-7B-Instruct-GGUF	8.10 GB	Doesn't fit	—	—
Q6_KQwen/Qwen2.5-7B-Instruct-GGUF	6.25 GB	Tight	16K	32K
Q5_K_MQwen/Qwen2.5-7B-Instruct-GGUF	5.44 GB	Fits	30K	60K
Q5_0Qwen/Qwen2.5-7B-Instruct-GGUF	5.32 GB	Fits	32K	64K
Q4_K_MQwen/Qwen2.5-7B-Instruct-GGUF	4.68 GB	Fits	43K	86K
Q4_0Qwen/Qwen2.5-7B-Instruct-GGUF	4.43 GB	Fits	47K	94K
Q3_K_MQwen/Qwen2.5-7B-Instruct-GGUF	3.81 GB	Fits	58K	116K
Q2_KQwen/Qwen2.5-7B-Instruct-GGUF	3.02 GB	Fits	71K	128K

Qwen2.5-7B-Instruct on other hardware

Popular models that run on RTX 4060

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.