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Models / bert-large-cantonese
GPU memory needed (smallest version of each): bert-large-cantonese ~326M about 2.3 GB. The cheapest runs on RTX 3060 from $0.08/h right now.
1 model (~326M) · ↓ 150 downloads a month · from $0.08/h on RTX 3060 right now. Each model's versions do the same job; quantized ones (AWQ, FP8, 4-bit) need less GPU memory and run on cheaper machines.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| nlihon9kon9ize/bert-large-cantonese-nli | vLLM | 650 MB | 2.3 GB | $0.08/h RTX 3060 |
Model details come from Hugging Face and are refreshed daily; prices follow the live offers. GPU memory is GridPup's estimate: the weights, room for an 8,192-token conversation (chat models) and the runtime's own memory. Large models are split across the GPUs of one machine ("4x RTX 4090").