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Models / SmolLM2 / SmolLM2 135M
Other · served with ONNX Runtime GenAI · ↓ 0 downloads a month · View on Hugging Face
The same model packaged differently: a quantized version needs less GPU memory and runs on a cheaper machine.
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalHuggingFaceTB/SmolLM2-135M | vLLM | 270 MB | 2.7 GB | $0.10/h RTX 3060 |
| InstructHuggingFaceTB/SmolLM2-135M-Instruct | vLLM | 270 MB | 2.7 GB | $0.10/h RTX 3060 |
| SmolVLM 256M InstructHuggingFaceTB/SmolVLM-256M-Instruct | vLLM | 510 MB | 3 GB | $0.10/h RTX 3060 |
| SmolDocling 256M preview (docling-project)docling-project/SmolDocling-256M-preview | vLLM | 510 MB | 3 GB | $0.10/h RTX 3060 |
| Instruct GPTQ (lilmeaty)lilmeaty/SmolLM2-135M-Instruct-GPTQ | vLLM | 90 MB | 2.5 GB | $0.10/h RTX 3060 |
| Instruct (Prince-1)Prince-1/SmolLM2-135M-Instruct | ONNX Runtime GenAI | 270 MB | 2 GB | $0.08/h GTX 1660 SUPER |
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
Prices are per hour for the whole machine and its disk, right now. Speed is Vast's DLPerf score of the machine, relative to the cheapest. Best value: the most speed per dollar. Only machines with a Vast reliability above 95% that download at 400 Mbit/s or more are offered: the machine fetches the model itself.