NVIDIA · 12 GB
Strong 8B–14B Q4 territory for a single user.
Qwen3 14B
列表中排在最前的模型可能是勉强适配或需要卸载的。日常使用建议选第一个标为 余量充足 的结果，并保持上下文适中。
Ollama
One-command local chat and app integration. GPU and driver support varies by operating system. Confirm the current hardware matrix before buying hardware. Since v0.34.2 (2026-09-15) Ollama's first-run setup offered account sign-in, and the release notes said you could continue locally; since v0.40.1 (2026-10-07) the CLI Welcome screen completes onboarding on Enter and the intermediate account step is gone, while cloud models keep the sign-in flow. Since v0.40.0 (2026-09-25) Ollama runs MLX-supported model architectures on Apple silicon through MLX by default rather than its own runner; NVIDIA and CPU paths are unchanged.
打开指南代表性开放权重模型
Qwen3 14B
- 估算内存
- ~11.2 GB
- 上下文
- 32K+
Gemma 3 12B
- 估算内存
- ~9.4 GB
- 上下文
- 128K
Qwen3 8B
- 估算内存
- ~6.8 GB
- 上下文
- 32K+
Qwen3 4B
- 估算内存
- ~3.6 GB
- 上下文
- 32K+
Gemma 3 4B
- 估算内存
- ~4.2 GB
- 上下文
- 128K
Llama 3.2 3B
- 估算内存
- ~2.8 GB
- 上下文
- 128K
适配基于估算的总模型内存。驱动支持、KV 缓存、多模态投影层、并发以及桌面应用都可能进一步压缩可用余量。当前适配：Qwen3 14B (勉强适配), Gemma 3 12B (勉强适配), Qwen3 8B (余量充足), Qwen3 4B (余量充足), Gemma 3 4B (余量充足), Llama 3.2 3B (余量充足)。