Unverified50% confidenceSolutionExact time
在12GB显存的显卡上运行9B模型时，通常采用4-bit量化（如Q4_K_M格式）以降低显存占用
1
Sources
50%
Confidence
Long-term
Relevance
8/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA GPU with 8 GB of VRAM can expand the context window to 8,192–16,384 tokens when running a Q4-quantized 9B model.77% similarUnverifiedAfter 4-bit quantization, Qwen-7B can run smoothly on a consumer-grade GPU with 24 GB of VRAM.75% similarUnverifiedINT4 quantized models are expected to complete on GPUs with 8 GB or even less VRAM the model inference that originally required 16 GB or 24 GB of VRAM.75% similarUnverified8GB of VRAM is sufficient to run Q4/Q5 quantized versions of 7B models (all layers on GPU), while 12GB of VRAM can run Q4 quantized versions of 14B models or Q8 versions of 7B models.75% similarUnverifiedOn an M4 24GB device, a 9B model (such as qwen3.5-32k:9b-mlx) runs fast with low memory usage, but is unable to effectively identify code issues.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/798210API
curl https://kongchang.com/api/v1/knowledge/claims/798210MCP
get_claim(id=798210)