Hunyuan Instruct models
2 Hunyuan Instruct models from Tencent on Hugging Face, from 7.5B to 80.4B parameters, published by Tencent in BF16, with a 32K-token context. The smallest official model, Hunyuan-7B-Instruct, needs about 16.8 GB of VRAM at its published precision; the cheapest live fit is RTX A5000 at $0.176/hr.
Part of the Hunyuan series · Next generation: Hy3
Pick a size
One row per official Hunyuan Instruct size: the VRAM it needs at each precision, the cheapest GPU that holds it today, and the KV cache for a 32K-token context.
| Model | Parameters | Native VRAM | FP8 VRAM | INT4 VRAM | Live GPU fit (native) | Est. $/hr | KV cache at 32K |
|---|---|---|---|---|---|---|---|
| Hunyuan-7B-Instruct | 7.5B | 16.8 GB | 8.4 GB | 4.2 GB | RTX A5000 | $0.176/hr | 4.0 GB |
| Hunyuan-A13B-Instruct | 80.4B | 180 GB | 89.8 GB | 44.9 GB | RTX A5000 × 8 | $1.41/hr | 4.0 GB |
VRAM is weights times a flat 1.2 overhead; the KV cache is a separate per-model figure at 16-bit, shown where the architecture is published. See the methodology.
Official models (2)
| Model | Parameters | Published as | VRAM needed | Live GPU fit | Est. $/hr |
|---|---|---|---|---|---|
| Hunyuan-7B-Instruct | 7.5B | BF16 | 16.8 GB | RTX A5000 | $0.176/hr |
| Hunyuan-A13B-Instruct | 80.4B | BF16 | 180 GB | RTX A5000 × 8 | $1.41/hr |
VRAM is for the precision the model is published in: the weights times a flat 1.2 overhead, with the KV cache not included. See the methodology. The fit shown is the lowest-priced single GPU type that holds the model at that precision, or the lowest-priced multi-GPU set (up to 8) when none does.
