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Models / gte-Qwen2
2 models (1.5B to 7B) · ↓ 467K downloads a month · from $0.09/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 |
|---|---|---|---|---|
| OriginalAlibaba-NLP/gte-Qwen2-1.5B-instruct | Text Embeddings Inference | 3.5 GB | 6.1 GB | $0.09/h RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalAlibaba-NLP/gte-Qwen2-7B-instruct | Text Embeddings Inference | 15 GB | 21.3 GB | $0.24/h RTX 3090 |
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").