What GPU do I need to run Featherless-Chat-Models/llama2-13b-chat-hf?
13.0B parameters, published in F16. View on Hugging Face
llama2-13b-chat-hf is published by Featherless-Chat-Models on Hugging Face, with 22,837 downloads and 0 likes to date. It's a LlamaForCausalLM model built for text-generation, published natively in F16.
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 llama2-13b-chat-hf at its published (F16) precision: 1× V100 on simplepod, at $0.170/hr per GPU ($0.170/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.
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