What GPU do I need to run moonshotai/Kimi-K2-Instruct?
1026.4B parameters, published in F8_E4M3. View on Hugging Face
Kimi-K2-Instruct is published by moonshotai on Hugging Face, with 166,602 downloads and 2,374 likes to date. It's a DeepseekV3ForCausalLM model built for text-generation, published natively in F8_E4M3.
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 moonshotai models
- Kimi-Linear-48B-A3B-Instruct (49.1B, BF16)
- Qwen3-0.6B (752M, BF16)
- Qwen3-8B (8.2B, BF16)
- gpt2 (137M, F32)
- Qwen3.5-9B (9.7B, BF16)
- Qwen3.6-35B-A3B-FP8 (36.0B, F8_E4M3)
