What GPU do I need to run meituan-longcat/LongCat-Flash-Chat?
561.9B parameters, published in BF16. View on Hugging Face
LongCat-Flash-Chat is published by meituan-longcat on Hugging Face, with 33,984 downloads and 537 likes to date. It's a LongcatFlashForCausalLM model built for text-generation, published natively in BF16.
VRAM required & cheapest live GPU fit
Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.
A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.
INT4 caveat: requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More meituan-longcat models
- LongCat-Flash-Lite (69.1B, BF16)
- LongCat-Flash-Lite-FP8 (69.1B, F8_E4M3)
- Qwen3-0.6B (752M, BF16)
- gpt2 (137M, F32)
- Qwen3-8B (8.2B, BF16)
- Qwen3.6-35B-A3B-FP8 (36.0B, F8_E4M3)
