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HARDWARE / VRAM

Radeon AI PRO R9700 · 32 GB

A 32 GB AMD workstation card for larger single-GPU quantized models. Check the exact operating-system and ROCm or Vulkan runtime path first.

Fuente primaria
RDNA 4 workstation GPU32 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 Holgado and keep context modest.

02 / DEFAULT RUNTIME

llama.cpp

GGUF models, CPU/GPU offload, embedded and unusual hardware. New architectures may require a recent build. Backend availability does not imply equal performance. Since v0.7.0 (2026-10-15) llama-server listens on port 9931 by default instead of 8080; the example commands pin that port explicitly. Older builds accept the same --port flag but default to 8080.

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03 / MODEL ENVELOPE

Modelos open-weight representativos

Nex AGI

Nex-N2.5-mini

English
35BQ4 estimated budget
Memoria estimada
~21 GB
Contexto
262,144 (config max_position_embeddings)
Alibaba Qwen

Qwen3.6 35B-A3B

35B3B active · Q4 / NVFP4 MoE
Memoria estimada
~25 GB
Contexto
262K native
Alibaba Qwen

Qwen3 32B

32BGGUF Q4
Memoria estimada
~24.5 GB
Contexto
32K+
Alibaba Qwen

Qwen3 30B-A3B

30B3B active · GGUF Q4 MoE
Memoria estimada
~22.5 GB
Contexto
32K+
Alibaba Qwen

Qwen3.6 27B

27BQ4 / NVFP4 estimate
Memoria estimada
~18.5 GB
Contexto
262K native
Alibaba Qwen

Qwen3.8 27B

27BQ4 estimate
Memoria estimada
~19.5 GB
Contexto
262K native
Atención

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 (Holgado), Qwen3.6 35B-A3B (Justo), Qwen3 32B (Justo), Qwen3 30B-A3B (Justo), Qwen3.6 27B (Holgado), Qwen3.8 27B (Holgado).