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 여유 있음 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.
가이드 열기03 / MODEL ENVELOPE
대표 오픈 웨이트 모델
Nex AGI
Nex-N2.5-mini
English35BQ4 estimated budget
- 추정 메모리
- ~21 GB
- 컨텍스트
- 262,144 (config max_position_embeddings)
Alibaba Qwen
Qwen3 30B-A3B
30B3B active · GGUF Q4 MoE
- 추정 메모리
- ~22.5 GB
- 컨텍스트
- 32K+
Alibaba Qwen
Qwen3.6 27B
27BQ4 / NVFP4 estimate
- 추정 메모리
- ~18.5 GB
- 컨텍스트
- 262K native
Alibaba Qwen
Qwen3.8 27B
27BQ4 estimate
- 추정 메모리
- ~19.5 GB
- 컨텍스트
- 262K native
Google
Gemma 3 27B
27BINT4
- 추정 메모리
- ~20.5 GB
- 컨텍스트
- 128K
Mistral AI
Devstral Small 2 24B
24BGGUF Q4 / BF16
- 추정 메모리
- ~18.5 GB
- 컨텍스트
- 256K
주의
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 (빠듯함), Qwen3 30B-A3B (빠듯함), Qwen3.6 27B (빠듯함), Qwen3.8 27B (빠듯함), Gemma 3 27B (빠듯함), Devstral Small 2 24B (빠듯함).