unsloth
Qwen3 Coder 480B A35B Instruct
Qwen3 Coder 480B A35B Instruct is a 480.2B mixture-of-experts qwen3moe model from unsloth, with about 35.0B parameters active per token. Configured context length is 262,144 tokens. License: apache-2.0. Quant sizes are the GGUF file bytes published on Hugging Face when a file exists.
Parameters480B / 35.0B active
Context256K
Attentiongqa
Licenseapache-2.0
62 layers · 8 KV heads · head dim 128 · GGUF repo · config
Quant file sizes
| Quant | File size | Source |
|---|---|---|
| BF16 | 894.5 GB | Hugging Face file bytes |
| UD-Q8_K_XL | 510.6 GB | Hugging Face file bytes |
| Q8_0 | 475.3 GB | Hugging Face file bytes |
| UD-Q6_K_XL | 380.0 GB | Hugging Face file bytes |
| Q6_K | 367.0 GB | Hugging Face file bytes |
| UD-Q5_K_XL | 316.6 GB | Hugging Face file bytes |
| Q5_K_M | 317.1 GB | Hugging Face file bytes |
| Q5_K_S | 307.7 GB | Hugging Face file bytes |
| UD-Q4_K_XL | 256.6 GB | Hugging Face file bytes |
| Q4_K_M | 270.1 GB | Hugging Face file bytes |
| Q4_K_S | 254.0 GB | Hugging Face file bytes |
| IQ4_NL | 252.0 GB | Hugging Face file bytes |
| IQ4_XS | 242.6 GB | Hugging Face file bytes |
| Q4_1 | 279.9 GB | Hugging Face file bytes |
| Q4_0 | 253.0 GB | Hugging Face file bytes |
| UD-Q3_K_XL | 198.1 GB | Hugging Face file bytes |
| Q3_K_M | 213.5 GB | Hugging Face file bytes |
| Q3_K_S | 192.7 GB | Hugging Face file bytes |
| UD-IQ3_XXS | 187.7 GB | Hugging Face file bytes |
| UD-Q2_K_XL | 167.9 GB | Hugging Face file bytes |
| Q2_K | 325.5 GB | Hugging Face file bytes |
| UD-IQ1_M | 139.4 GB | Hugging Face file bytes |
On common machines
| Device | Verdict | Quant | Speed |
|---|---|---|---|
| GeForce RTX 4060 Ti 8GB | Won't fit | UD-IQ1_M | — |
| GeForce RTX 3060 12GB | Won't fit | UD-IQ1_M | — |
| GeForce RTX 4060 Ti 16GB | Won't fit | UD-IQ1_M | — |
| GeForce RTX 4090 | Won't fit | UD-IQ1_M | — |
| GeForce RTX 5090 | Won't fit | UD-IQ1_M | — |
| Apple M4 Pro | Won't fit | UD-IQ1_M | — |
| Apple M5 | Won't fit | UD-IQ1_M | — |
| CPU only · DDR5-5600 | Won't fit | UD-IQ1_M | — |
Smallest devices that fit it fully
- NVIDIA B200 — Tight fit, UD-Q2_K_XL, 289–394 tok/s
Run it
Commands for the GeForce RTX 4060 Ti 16GB estimate (UD-IQ1_M).
llama.cpp
llama-server -hf unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF:UD-IQ1_M -c 2048 -ngl 0
Ollama
ollama run qwen3
LM Studio
lms get unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF # Then load quant UD-IQ1_M