Qwen3 Coder 30B A3B Instruct FP4 — Hardware Requirements & GPU Compatibility
ChatCode
31.9K downloads
17 likesSpecifications
- Publisher
- NVFP4
- Family
- Qwen
- Parameters
- 15.6B
- Architecture
- Qwen3MoeForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2025-08-05
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does Qwen3 Coder 30B A3B Instruct FP4 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| Q2_K | 3.40 | 7.0 GB | 19.8 GB | 6.62 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 7.2 GB | 20 GB | 6.82 GB | 3-bit small quantization |
| Q3_K_M | 3.90 | 8 GB | 20.8 GB | 7.60 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 8.2 GB | 21.0 GB | 7.79 GB | 4-bit legacy quantization |
| Q4_K_M | 4.80 | 9.8 GB | 22.5 GB | 9.35 GB | 4-bit medium quantization — most popular sweet spot |
| Q5_K_M | 5.70 | 11.5 GB | 24.3 GB | 11.10 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q6_K | 6.60 | 13.3 GB | 26.0 GB | 12.86 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 16.0 GB | 28.8 GB | 15.58 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Qwen3 Coder 30B A3B Instruct FP4?
Q4_K_M · 9.8 GBQwen3 Coder 30B A3B Instruct FP4 (Q4_K_M) requires 9.8 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 13+ GB is recommended. Using the full 262K context window can add up to 12.8 GB, bringing total usage to 22.5 GB. 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 Coder 30B A3B Instruct FP4?
Q4_K_M · 9.8 GB27 devices with unified memory can run Qwen3 Coder 30B A3B Instruct FP4, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Runs great
— Plenty of headroomRelated Models
Frequently Asked Questions
- How much VRAM does Qwen3 Coder 30B A3B Instruct FP4 need?
Qwen3 Coder 30B A3B Instruct FP4 requires 9.8 GB of VRAM at Q4_K_M, or 16.0 GB at Q8_0. Full 262K context adds up to 12.8 GB (22.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 15.6B × 4.8 bits ÷ 8 = 9.4 GB
KV Cache + Overhead ≈ 0.3 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 13.1 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M9.8 GBQ4_K_M + full context22.5 GB- What's the best quantization for Qwen3 Coder 30B A3B Instruct FP4?
For Qwen3 Coder 30B A3B Instruct FP4, Q4_K_M (9.8 GB) offers the best balance of quality and VRAM usage. Q5_K_S (11.1 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 4.7 GB.
VRAM requirement by quantization
IQ2_XXS4.7 GB~53%Q3_K_S7.2 GB~77%Q4_19.2 GB~88%Q4_K_M ★9.8 GB~89%Q5_K_S11.1 GB~92%Q8_016.0 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3 Coder 30B A3B Instruct FP4 on a Mac?
Qwen3 Coder 30B A3B Instruct FP4 requires at least 4.7 GB at IQ2_XXS, 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 30B A3B Instruct FP4 locally?
Yes — Qwen3 Coder 30B A3B Instruct FP4 can run locally on consumer hardware. At Q4_K_M quantization it needs 9.8 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3 Coder 30B A3B Instruct FP4?
At Q4_K_M, Qwen3 Coder 30B A3B Instruct FP4 can reach ~299 tok/s on AMD Instinct MI300X. On NVIDIA GeForce RTX 4090: ~67 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 ÷ 9.8 × 0.55 = ~299 tok/s
Estimated speed at Q4_K_M (9.8 GB)
AMD Instinct MI300X~299 tok/sNVIDIA GeForce RTX 4090~67 tok/sNVIDIA H100 SXM~224 tok/sAMD Instinct MI250X~185 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 30B A3B Instruct FP4?
At Q4_K_M, the download is about 9.35 GB. The full-precision Q8_0 version is 15.58 GB. The smallest option (IQ2_XXS) is 4.29 GB.
- Which GPUs can run Qwen3 Coder 30B A3B Instruct FP4?
28 consumer GPUs can run Qwen3 Coder 30B A3B Instruct FP4 at Q4_K_M (9.8 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 Coder 30B A3B Instruct FP4?
27 devices with unified memory can run Qwen3 Coder 30B A3B Instruct FP4 at Q4_K_M (9.8 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.