Qwen3.5 4B PTBR — Hardware Requirements & GPU Compatibility
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Qwen3.5 4B PTBR is a 4B-parameter open language model from lucasmg09 in the Qwen family. At BF16 it needs about 8.80 GB of VRAM — see which GPUs and Macs can run it below.
5.8K downloads
2 likesSpecifications
- Publisher
- lucasmg09
- Family
- Qwen
- Parameters
- 4B
- Release Date
- 2026-06-05
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Qwen3.5 4B PTBR Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 8.8 GB | — | 8.00 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run Qwen3.5 4B PTBR?
BF16 · 8.8 GBQwen3.5 4B PTBR (BF16) requires 8.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 12+ GB is recommended. 28 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti, NVIDIA GeForce RTX 3080 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run Qwen3.5 4B PTBR?
BF16 · 8.8 GB27 devices with unified memory can run Qwen3.5 4B PTBR, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Qwen3.5 4B PTBR need?
Qwen3.5 4B PTBR requires 8.8 GB of VRAM at BF16.
VRAM = Weights + KV Cache + Overhead
Weights = 4B × 16 bits ÷ 8 = 8 GB
KV Cache + Overhead ≈ 0.8 GB (at 2K context + ~0.3 GB framework)
VRAM usage by quantization
BF168.8 GB- Can I run Qwen3.5 4B PTBR on a Mac?
Qwen3.5 4B PTBR requires at least 8.8 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run Qwen3.5 4B PTBR locally?
Yes — Qwen3.5 4B PTBR can run locally on consumer hardware. At BF16 quantization it needs 8.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3.5 4B PTBR?
At BF16, Qwen3.5 4B PTBR can reach ~331 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~75 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 8.8 × 0.55 = ~331 tok/s
Estimated speed at BF16 (8.8 GB)
~331 tok/s~75 tok/s~248 tok/s~205 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3.5 4B PTBR?
At BF16, the download is about 8.00 GB.
- Which GPUs can run Qwen3.5 4B PTBR?
28 consumer GPUs can run Qwen3.5 4B PTBR at BF16 (8.8 GB). Top options include AMD Radeon RX 6800, AMD Radeon RX 6800 XT, AMD Radeon RX 6900 XT, AMD Radeon RX 6700 XT. 17 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Qwen3.5 4B PTBR?
27 devices with unified memory can run Qwen3.5 4B PTBR at BF16 (8.8 GB), including Mac Mini M4 (16 GB), Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.