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Models / CodeBERTa-small
GPU memory needed (smallest version of each): CodeBERTa-small ~83M about 1.7 GB. The cheapest runs on GTX 1660 SUPER from $0.08/h right now.
1 model (~83M) · ↓ 8.5K downloads a month · from $0.08/h on GTX 1660 SUPER 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 |
|---|---|---|---|---|
| programming language identification (philomath-1209)philomath-1209/programming-language-identification | vLLM | 170 MB | 1.7 GB | $0.09/h RTX 3060 |
| ST (buelfhood)buelfhood/CodeBERTa-small-v1-ST | Text Embeddings Inference | 170 MB | 1.7 GB | $0.08/h GTX 1660 SUPER |
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").