गाइड पर वापस
HARDWARE / VRAM

Workstation · 48 GB

70B Q4 serving begins here, with limited room for cache and concurrency.

RTX 6000 / dual GPU48 GB
01 / PRACTICAL CEILING

Qwen3 32B

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked Comfortable and keep context modest.

02 / DEFAULT RUNTIME

vLLM

Linux GPU servers, concurrency and OpenAI-compatible production APIs. CUDA, ROCm and XPU feature coverage differs. Driver, shared-memory and quantization compatibility are version-specific.

गाइड खोलें
03 / MODEL ENVELOPE

प्रतिनिधि ओपन-वेट मॉडल

Alibaba Qwen

Qwen3 32B

32BGGUF Q4
अनुमानित मेमोरी
~24.5 GB
कॉन्टेक्स्ट
32K+
Alibaba Qwen

Qwen3 30B-A3B

30B3B active · GGUF Q4 MoE
अनुमानित मेमोरी
~22.5 GB
कॉन्टेक्स्ट
32K+
Google

Gemma 3 27B

27BINT4
अनुमानित मेमोरी
~20.5 GB
कॉन्टेक्स्ट
128K
Mistral AI

Devstral Small 2 24B

24BGGUF Q4 / BF16
अनुमानित मेमोरी
~18.5 GB
कॉन्टेक्स्ट
256K
OpenAI

gpt-oss-20b

21B3.6B active · MXFP4
अनुमानित मेमोरी
~16 GB
कॉन्टेक्स्ट
128K
Alibaba Qwen

Qwen3 14B

14BGGUF Q4
अनुमानित मेमोरी
~11.2 GB
कॉन्टेक्स्ट
32K+
सावधानी

Fit is based on estimated total model memory. Driver support, KV cache, multimodal projectors, concurrency, and desktop applications can all reduce available headroom. Current fit: Qwen3 32B (Comfortable), Qwen3 30B-A3B (Comfortable), Gemma 3 27B (Comfortable), Devstral Small 2 24B (Comfortable), gpt-oss-20b (Comfortable), Qwen3 14B (Comfortable).