HunyuanImage-3.0-Instruct
tencentOthertextvision

HunyuanImage-3.0-Instruct

Updated Nov 13, 2026
Parameters
83B
Context
22,800
License
Other
Updated
Nov 13, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Too big for 24 GB at any quant
0 of 4 quantizations fit HunyuanImage-3.0-Instruct with real runtime overhead.
Q4_K_M
48 GB
Q5_K_M
59 GB
Q8_0
89 GB
FP16
166 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve tencent/HunyuanImage-3.0-Instruct

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

HunyuanImage-3.0-Instruct is an open-weight image editing model from tencent, published on Hugging Face in September 2025. It has 83B parameters and is released under a custom license (see the model card).

HardwareLink to this section

At full FP16 precision the weights need about 166 GB of memory; 8-bit quantization brings that to roughly 89 GB. Check the VRAM tiers above to see which GPUs fit it.

PopularityLink to this section

HunyuanImage-3.0-Instruct had 24,770 downloads on Hugging Face in the last month and has 1,064 likes.

Run it locallyLink to this section

The weights are on Hugging Face. Follow the model card for the exact setup and license terms.

Frequently asked

Quick answers to common questions

How much VRAM does HunyuanImage-3.0-Instruct need?

HunyuanImage-3.0-Instruct with 83B parameters needs approximately 48 GB at Q4_K_M quantization. Use our VRAM calculator for an exact estimate.

Is HunyuanImage-3.0-Instruct better than other tencent models?

HunyuanImage-3.0-Instruct has 83B parameters with 22,800 context - a strong choice for image-editing.

What license is HunyuanImage-3.0-Instruct under?

HunyuanImage-3.0-Instruct is released under the Other license, making it suitable for most commercial and personal projects.

What hardware runs HunyuanImage-3.0-Instruct well?

With 83B parameters, HunyuanImage-3.0-Instruct requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for HunyuanImage-3.0-Instruct?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Q5_K_M (~59 GB) is an option if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with HunyuanImage-3.0-Instruct?

HunyuanImage-3.0-Instruct competes with other 42B–125B. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Nearby options

Similar models and compatible hardware by spec