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Models / ECE-TW3-JRGL
2 models (~69B to ~72.3B) · ↓ 17.3K downloads a month · from $2.11/h on 4x RTX 4090 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 |
|---|---|---|---|---|
| Originalpaloalma/ECE-TW3-JRGL-V1 | vLLM | 138 GB | 158.5 GB | $2.11/h 4x RTX 4090 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| Originalpaloalma/ECE-TW3-JRGL-V5 | vLLM | 145 GB | 186.7 GB | $2.77/h 2x RTX PRO 6000 |
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").