Qwen3 Coder 480B A35B Instruct NVFP4 — Hardware Requirements & GPU Compatibility
ChatCodeSpecifications
- Publisher
- NVIDIA
- Family
- Qwen
- Parameters
- 241.0B
- Architecture
- Qwen3MoeForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2026-02-05
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Qwen3 Coder 480B A35B Instruct NVFP4 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 103 GB | 136.0 GB | 102.44 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 106.0 GB | 139.0 GB | 105.46 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 118.1 GB | 151.1 GB | 117.51 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 121.1 GB | 154.1 GB | 120.52 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 145.2 GB | 178.2 GB | 144.63 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 172.3 GB | 205.3 GB | 171.74 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 199.4 GB | 232.4 GB | 198.86 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 241.6 GB | 274.6 GB | 241.04 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Qwen3 Coder 480B A35B Instruct NVFP4?
Q4_K_M · 145.2 GBQwen3 Coder 480B A35B Instruct NVFP4 (Q4_K_M) requires 145.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 189+ GB is recommended. Using the full 262K context window can add up to 33.0 GB, bringing total usage to 178.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Qwen3 Coder 480B A35B Instruct NVFP4?
Q4_K_M · 145.2 GB4 devices with unified memory can run Qwen3 Coder 480B A35B Instruct NVFP4, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Pro M2 Ultra (192 GB).
Runs great
— Plenty of headroomDecent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Qwen3 Coder 480B A35B Instruct NVFP4 need?
Qwen3 Coder 480B A35B Instruct NVFP4 requires 145.2 GB of VRAM at Q4_K_M, or 241.6 GB at Q8_0. Full 262K context adds up to 33.0 GB (178.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 241.0B × 4.8 bits ÷ 8 = 144.6 GB
KV Cache + Overhead ≈ 0.6 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 33.6 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M145.2 GBQ4_K_M + full context178.2 GB- Can NVIDIA GeForce RTX 5090 run Qwen3 Coder 480B A35B Instruct NVFP4?
No — Qwen3 Coder 480B A35B Instruct NVFP4 requires at least 72.9 GB at IQ2_XS, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- What's the best quantization for Qwen3 Coder 480B A35B Instruct NVFP4?
For Qwen3 Coder 480B A35B Instruct NVFP4, Q4_K_M (145.2 GB) offers the best balance of quality and VRAM usage. Q5_K_S (166.3 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XS at 72.9 GB.
VRAM requirement by quantization
IQ2_XS72.9 GB~57%Q3_K_S106.0 GB~77%Q3_K_L124.1 GB~86%Q4_K_M ★145.2 GB~89%Q5_K_S166.3 GB~92%Q8_0241.6 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3 Coder 480B A35B Instruct NVFP4 on a Mac?
Qwen3 Coder 480B A35B Instruct NVFP4 requires at least 72.9 GB at IQ2_XS, 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 Coder 480B A35B Instruct NVFP4 locally?
Yes — Qwen3 Coder 480B A35B Instruct NVFP4 can run locally on consumer hardware. At Q4_K_M quantization it needs 145.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3 Coder 480B A35B Instruct NVFP4?
At Q4_K_M, Qwen3 Coder 480B A35B Instruct NVFP4 can reach ~20 tok/s on AMD Instinct MI300X. 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 ÷ 145.2 × 0.55 = ~20 tok/s
Estimated speed at Q4_K_M (145.2 GB)
AMD Instinct MI300X~20 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of Qwen3 Coder 480B A35B Instruct NVFP4?
At Q4_K_M, the download is about 144.63 GB. The full-precision Q8_0 version is 241.04 GB. The smallest option (IQ2_XS) is 72.31 GB.
- Which GPUs can run Qwen3 Coder 480B A35B Instruct NVFP4?
No single consumer GPU has enough VRAM to run Qwen3 Coder 480B A35B Instruct NVFP4 at Q4_K_M (145.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run Qwen3 Coder 480B A35B Instruct NVFP4?
4 devices with unified memory can run Qwen3 Coder 480B A35B Instruct NVFP4 at Q4_K_M (145.2 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), NVIDIA DGX A100 640GB, NVIDIA DGX H100. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.