What GPU do I need to run 01-ai/Yi-34B?
34.4B parameters, published in BF16. View on Hugging Face
Yi-34B is published by 01-ai on Hugging Face, with 10,429 downloads and 1,302 likes to date. It's a LlamaForCausalLM 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.
Cheapest way to run Yi-34B at its published (BF16) precision: 1× A100 on runpod, at $1.19/hr per GPU ($1.19/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.
Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.
More 01-ai models
- Yi-6B (6.1B, BF16)
- Yi-6B-Chat (6.1B, BF16)
- Yi-34B-Chat (34.4B, BF16)
- Yi-1.5-9B-Chat (8.8B, BF16)
- Yi-6B-200K (6.1B, BF16)
- Yi-1.5-9B (8.8B, BF16)
