गाइड पर वापस
HARDWARE / VRAM

NVIDIA · 24 GB

The consumer sweet spot for 27B and 30B-A3B INT4/Q4 models.

RTX 3090 / 4090 class24 GB
01 / PRACTICAL CEILING

Nex-N2.5-mini

The highest listed result may be a tight or offloaded fit. For daily use, prefer the first result marked आराम से 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.

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03 / MODEL ENVELOPE

प्रतिनिधि ओपन-वेट मॉडल

Nex AGI

Nex-N2.5-mini

English
35BQ4 estimated budget
अनुमानित मेमोरी
~21 GB
कॉन्टेक्स्ट
262,144 (config max_position_embeddings)
Alibaba Qwen

Qwen3 30B-A3B

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

Qwen3.6 27B

27BQ4 / NVFP4 estimate
अनुमानित मेमोरी
~18.5 GB
कॉन्टेक्स्ट
262K native
Alibaba Qwen

Qwen3.8 27B

27BQ4 estimate
अनुमानित मेमोरी
~19.5 GB
कॉन्टेक्स्ट
262K native
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
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: Nex-N2.5-mini (सीमित), Qwen3 30B-A3B (सीमित), Qwen3.6 27B (सीमित), Qwen3.8 27B (सीमित), Gemma 3 27B (सीमित), Devstral Small 2 24B (सीमित).