Qwen3 Coder Next FP8 Dynamic — Hardware Requirements & GPU Compatibility
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An FP8 dynamic quantized version of Alibaba's Qwen3 Coder Next, repackaged by Unsloth. At 79.7 billion parameters, this is a large code-focused model that benefits substantially from dynamic FP8 quantization, which reduces memory requirements while preserving strong code generation quality across many programming languages. Qwen3 Coder Next represents Alibaba's latest generation of specialized coding models, with strong performance on code completion, generation, debugging, and explanation tasks. The FP8 dynamic format offers a good balance between model fidelity and memory savings, though you will still need a high-VRAM GPU or multi-GPU setup to run this model locally.
72.7K downloads
37 likesSpecifications
- Publisher
- Unsloth
- Family
- Qwen
- Parameters
- 79.7B
- Architecture
- Qwen3NextForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 151,936
- Release Date
- 2026-02-03
- License
- Apache 2.0
Get Started
HuggingFace
How Much VRAM Does Qwen3 Coder Next FP8 Dynamic Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| IQ2_XXS | 2.20 | 22.3 GB | 35.1 GB | 21.93 GB | Importance-weighted 2-bit, extreme compression — significant quality loss |
| IQ2_XS | 2.40 | 24.3 GB | 37.1 GB | 23.92 GB | Importance-weighted 2-bit, extra small |
| IQ2_S | 2.50 | 25.3 GB | 38.1 GB | 24.92 GB | Importance-weighted 2-bit, small |
| IQ2_M | 2.70 | 27.3 GB | 40.1 GB | 26.92 GB | Importance-weighted 2-bit, medium |
| IQ3_XXS | 3.10 | 31.3 GB | 44.1 GB | 30.90 GB | Importance-weighted 3-bit |
| IQ3_XS | 3.30 | 33.3 GB | 46.1 GB | 32.90 GB | Importance-weighted 3-bit, extra small |
| IQ3_S | 3.40 | 34.3 GB | 47.1 GB | 33.89 GB | Importance-weighted 3-bit, small |
| Q2_K | 3.40 | 34.3 GB | 47.1 GB | 33.89 GB | 2-bit quantization with K-quant improvements |
| Q3_K_S | 3.50 | 35.3 GB | 48.1 GB | 34.89 GB | 3-bit small quantization |
| IQ3_M | 3.60 | 36.3 GB | 49.1 GB | 35.89 GB | Importance-weighted 3-bit, medium |
| Q3_K_M | 3.90 | 39.3 GB | 52.1 GB | 38.88 GB | 3-bit medium quantization |
| Q4_0 | 4.00 | 40.3 GB | 53.1 GB | 39.87 GB | 4-bit legacy quantization |
| Q3_K_L | 4.10 | 41.3 GB | 54.1 GB | 40.87 GB | 3-bit large quantization |
| IQ4_XS | 4.30 | 43.3 GB | 56.0 GB | 42.86 GB | Importance-weighted 4-bit, compact |
| Q4_1 | 4.50 | 45.3 GB | 58.0 GB | 44.86 GB | 4-bit legacy quantization with offset |
| Q4_K_S | 4.50 | 45.3 GB | 58.0 GB | 44.86 GB | 4-bit small quantization |
| IQ4_NL | 4.50 | 45.3 GB | 58.0 GB | 44.86 GB | Importance-weighted 4-bit, non-linear |
| Q4_K_M | 4.80 | 48.3 GB | 61.0 GB | 47.85 GB | 4-bit medium quantization — most popular sweet spot |
| Q4_K_L | 4.90 | 49.3 GB | 62.0 GB | 48.85 GB | 4-bit large quantization |
| Q5_K_S | 5.50 | 55.2 GB | 68.0 GB | 54.83 GB | 5-bit small quantization |
| Q5_K_M | 5.70 | 57.2 GB | 70.0 GB | 56.82 GB | 5-bit medium quantization — good quality/size tradeoff |
| Q5_K_L | 5.80 | 58.2 GB | 71 GB | 57.82 GB | 5-bit large quantization |
| Q6_K | 6.60 | 66.2 GB | 79.0 GB | 65.79 GB | 6-bit quantization, very good quality |
| Q8_0 | 8.00 | 80.2 GB | 92.9 GB | 79.75 GB | 8-bit quantization, near-lossless |
Which GPUs Can Run Qwen3 Coder Next FP8 Dynamic?
Q4_K_M · 48.3 GBQwen3 Coder Next FP8 Dynamic (Q4_K_M) requires 48.3 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 63+ GB is recommended. Using the full 262K context window can add up to 12.8 GB, bringing total usage to 61.0 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run Qwen3 Coder Next FP8 Dynamic?
Q4_K_M · 48.3 GB8 devices with unified memory can run Qwen3 Coder Next FP8 Dynamic, including NVIDIA DGX H100, NVIDIA DGX A100 640GB, Mac Studio M4 Max (64 GB).
Runs great
— Plenty of headroom
Decent
— Enough memory, may be tightRelated Models
Frequently Asked Questions
- How much VRAM does Qwen3 Coder Next FP8 Dynamic need?
Qwen3 Coder Next FP8 Dynamic requires 48.3 GB of VRAM at Q4_K_M, or 80.2 GB at Q8_0. Full 262K context adds up to 12.8 GB (61.0 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 79.7B × 4.8 bits ÷ 8 = 47.8 GB
KV Cache + Overhead ≈ 0.5 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 13.2 GB (at full 262K context)
VRAM usage by quantization
Q4_K_M48.3 GBQ4_K_M + full context61.0 GB- Can NVIDIA GeForce RTX 4090 run Qwen3 Coder Next FP8 Dynamic?
Yes, at IQ2_XXS (22.3 GB) or lower. Higher quantizations like IQ2_XS (24.3 GB) exceed the NVIDIA GeForce RTX 4090's 24 GB.
- What's the best quantization for Qwen3 Coder Next FP8 Dynamic?
For Qwen3 Coder Next FP8 Dynamic, Q4_K_M (48.3 GB) offers the best balance of quality and VRAM usage. Q4_K_L (49.3 GB) provides better quality if you have the VRAM. The smallest option is IQ2_XXS at 22.3 GB.
VRAM requirement by quantization
IQ2_XXS22.3 GB~53%IQ3_S34.3 GB~75%Q3_K_L41.3 GB~86%Q4_K_M ★48.3 GB~89%Q4_K_L49.3 GB~90%Q8_080.2 GB~99%★ Recommended — best balance of quality and VRAM usage.
- Can I run Qwen3 Coder Next FP8 Dynamic on a Mac?
Qwen3 Coder Next FP8 Dynamic requires at least 22.3 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 Next FP8 Dynamic locally?
Yes — Qwen3 Coder Next FP8 Dynamic can run locally on consumer hardware. At Q4_K_M quantization it needs 48.3 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is Qwen3 Coder Next FP8 Dynamic?
At Q4_K_M, Qwen3 Coder Next FP8 Dynamic can reach ~60 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 ÷ 48.3 × 0.55 = ~60 tok/s
Estimated speed at Q4_K_M (48.3 GB)
AMD Instinct MI300X~60 tok/sNVIDIA H100 SXM~45 tok/sAMD Instinct MI250X~37 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 Next FP8 Dynamic?
At Q4_K_M, the download is about 47.85 GB. The full-precision Q8_0 version is 79.75 GB. The smallest option (IQ2_XXS) is 21.93 GB.