WebWorld 32B — Hardware Requirements & GPU Compatibility
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WebWorld 32B is a 32.8B-parameter open language model from Alibaba. It supports a context window of up to 40,960 tokens. At Q4_K_M it needs about 20.29 GB of VRAM — see which GPUs and Macs can run it below.
1.1K downloads
64 likesSpecifications
- Publisher
- Alibaba
- Parameters
- 32.8B
- Architecture
- Qwen3ForCausalLM
- Context Length
- 40,960 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2026-02-13
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does WebWorld 32B Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_Kest. | 3.40 | 14.6 GB | 20.9 GB | 13.92 GB | 2-bit quantization with K-quant improvements |
| Q3_K_Mest. | 3.90 | 16.6 GB | 23.0 GB | 15.97 GB | 3-bit medium quantization |
| Q4_K_Mest. | 4.80 | 20.3 GB | 26.7 GB | 19.66 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_Mest. | 5.70 | 24.0 GB | 30.4 GB | 23.34 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_Kest. | 6.60 | 27.7 GB | 34.0 GB | 27.03 GB | 6-bit quantization, very good quality |
| Q8_0est. | 8.00 | 33.4 GB | 39.8 GB | 32.76 GB | 8-bit quantization, near-lossless |
| BF16est. | 16.00 | 66.2 GB | 72.5 GB | 65.52 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 WebWorld 32B?
Q4_K_M · 20.3 GBWebWorld 32B (Q4_K_M) requires 20.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 27+ GB is recommended. Using the full 41K context window can add up to 6.4 GB, bringing total usage to 26.7 GB. 5 GPUs can run it, including NVIDIA GeForce RTX 5090, NVIDIA GeForce RTX 3090 Ti.
Runs great
— Plenty of headroom
Decent
— Enough VRAM, may be tightWhich Devices Can Run WebWorld 32B?
Q4_K_M · 20.3 GB21 devices with unified memory can run WebWorld 32B, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Mini M4 Pro (24 GB).
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does WebWorld 32B need?
WebWorld 32B requires 20.3 GB of VRAM at Q4_K_M, or 66.2 GB at BF16. Full 41K context adds up to 6.4 GB (26.7 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 32.8B × 4.8 bits ÷ 8 = 19.7 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7 GB (at full 41K context)
VRAM usage by quantization
Q4_K_M20.3 GBQ4_K_M + full context26.7 GB- Can NVIDIA GeForce RTX 4090 run WebWorld 32B?
Yes, at Q5_K_M (24.0 GB) or lower. Higher quantizations like Q6_K (27.7 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for WebWorld 32B?
For WebWorld 32B, Q4_K_M (20.3 GB) offers the best balance of quality and VRAM usage. Q5_K_M (24.0 GB) provides better quality if you have the VRAM. The smallest option is Q2_K at 14.6 GB.
VRAM requirement by quantization
Q2_K14.6 GBQ4_K_M ★20.3 GBQ5_K_M24.0 GBQ6_K27.7 GBQ8_033.4 GBBF1666.2 GB★ Recommended — best balance of quality and VRAM usage.
- Can I run WebWorld 32B on a Mac?
WebWorld 32B requires at least 14.6 GB at Q2_K, 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 WebWorld 32B locally?
Yes — WebWorld 32B can run locally on consumer hardware. At Q4_K_M quantization it needs 20.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is WebWorld 32B?
At Q4_K_M, WebWorld 32B can reach ~144 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~32 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 ÷ 20.3 × 0.55 = ~144 tok/s
Estimated speed at Q4_K_M (20.3 GB)
~144 tok/s~32 tok/s~107 tok/s~89 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of WebWorld 32B?
At Q4_K_M, the download is about 19.66 GB. The full-precision BF16 version is 65.52 GB. The smallest option (Q2_K) is 13.92 GB.
- Which GPUs can run WebWorld 32B?
5 consumer GPUs can run WebWorld 32B at Q4_K_M (20.3 GB). Top options include NVIDIA GeForce RTX 5090, AMD Radeon RX 7900 XTX, NVIDIA GeForce RTX 3090. 1 GPU have plenty of headroom for comfortable inference.
- Which devices can run WebWorld 32B?
21 devices with unified memory can run WebWorld 32B at Q4_K_M (20.3 GB), including Mac Mini M4 (32 GB), Mac Mini M4 Pro (24 GB), Mac Mini M4 Pro (48 GB), Mac Pro M2 Ultra (192 GB). Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.