Penguin VL 2B — Hardware Requirements & GPU Compatibility
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Penguin VL 2B is a 2.2B-parameter open language model from tencent. It supports a context window of up to 40,960 tokens. At BF16 it needs about 4.87 GB of VRAM — see which GPUs and Macs can run it below.
1.2K downloads
31 likesSpecifications
- Publisher
- tencent
- Parameters
- 2.2B
- Architecture
- PenguinVLQwen3ForCausalLM
- Context Length
- 40,960 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2026-03-05
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Penguin VL 2B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 4.9 GB | 9.3 GB | 4.34 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Penguin VL 2B?
BF16 · 4.9 GBPenguin VL 2B (BF16) requires 4.9 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 7+ GB is recommended. Using the full 41K context window can add up to 4.5 GB, bringing total usage to 9.3 GB. 50 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroomWhich Devices Can Run Penguin VL 2B?
BF16 · 4.9 GB59 devices with unified memory can run Penguin VL 2B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Apple iPhone 17 Pro.
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightFrequently Asked Questions
- How much VRAM does Penguin VL 2B need?
Penguin VL 2B requires 4.9 GB of VRAM at BF16. Full 41K context adds up to 4.5 GB (9.3 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 2.2B × 16 bits ÷ 8 = 4.3 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 5 GB (at full 41K context)
VRAM usage by quantization
BF164.9 GBBF16 + full context9.3 GB- Can I run Penguin VL 2B on a Mac?
Penguin VL 2B requires at least 4.9 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 Penguin VL 2B locally?
Yes — Penguin VL 2B can run locally on consumer hardware. At BF16 quantization it needs 4.9 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Penguin VL 2B?
At BF16, Penguin VL 2B can reach ~904 tok/s on AMD Instinct MI350X. On NVIDIA GeForce RTX 4090: ~135 tok/s. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: NVIDIA B200 → 8000 ÷ 4.9 × 0.65 = ~1068 tok/s
Estimated speed at BF16 (4.9 GB)
~1068 tok/s~135 tok/s~1068 tok/s~904 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Penguin VL 2B?
At BF16, the download is about 4.34 GB.
- Which GPUs can run Penguin VL 2B?
50 consumer GPUs can run Penguin VL 2B at BF16 (4.9 GB). Top options include AMD Radeon RX 6700 XT, AMD Radeon RX 6800, AMD Radeon RX 6800 XT. 50 GPUs have plenty of headroom for comfortable inference.
- Which devices can run Penguin VL 2B?
59 devices with unified memory can run Penguin VL 2B at BF16 (4.9 GB), including AMD Ryzen AI 9 HX 370 (Strix Point) Laptop, ASUS Ascent GX10, Apple iPhone 17 Pro, Asus ROG Flow Z13 (2025, Ryzen AI Max+ 395, 128 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.