Dedicated GPU memory guides
These Windows/NVIDIA guide pages use dedicated GPU memory as the primary fit budget and keep partial offload separate from a full GPU fit.
Alibaba Cloud · Qwen
Qwen3 4B local AI fit guide
Review available GGUF variants, quantization choices, and conservative memory-planning levels for running Qwen3 4Blocally.
- Parameters
- 4B
- Size class
- small
- Use cases
- chat, lightweight, rag
- Catalog context
- 256,000 tokens
GGUF variants
| Variant | Quantization | Estimated file | Minimum load | Planning memory |
|---|---|---|---|---|
| Qwen3 4B · Q4_K_M | Q4_K_M | 2.5 GB | 3.5 GB | 4.5 GB |
| Qwen3 4B · Q8_0 | Q8_0 | 4.2 GB | 5.2 GB | 6.2 GB |
GPU compatibility
GPUs with a verified memory-fit path for Qwen3 4B
These pages compare this model's recorded GGUF variants against the dedicated VRAM of selected NVIDIA GPUs. They are deterministic memory-fit checks, not performance benchmarks.
Apple Silicon unified-memory guides
Apple Silicon pages use conservative unified-memory budgets and Metal-capable local inference terminology instead of treating the Mac as a CUDA workstation.
Fit caveats
These are deterministic memory-planning checks, not benchmark claims. Context length, runtime settings, offload behavior, and concurrent apps can change practical fit.