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Models / ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts
GPU memory needed (smallest version of each): ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-texts ~395M about 2.4 GB. The cheapest runs on RTX 3060 from $0.10/h right now.
1 model (~395M) · ↓ 0 downloads a month · from $0.10/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 |
|---|---|---|---|---|
| OriginalParallia/ClinicalEncoder25-Diagnosable-Colbert-L2-for-medical-textsLicence to accept | vLLM | 790 MB | 2.4 GB | $0.10/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").