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Models / NeuralLLaMa-3
3 models (8B to 8B) · ↓ 26K downloads a month · from $0.19/h on 2x 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 |
|---|---|---|---|---|
| OriginalKukedlc/NeuralLLaMa-3-8b-ORPO-v0.3 | vLLM | 16 GB | 21.3 GB | $0.19/h 2x RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalKukedlc/NeuralLLaMa-3-8b-DT-v0.1 | vLLM | 16 GB | 21.3 GB | $0.19/h 2x RTX 3060 |
| Version | Runtime | Weights | GPU memory | Cheapest machine now |
|---|---|---|---|---|
| OriginalKukedlc/NeuralLLaMa-3-8b-ORPO-v0.4 | vLLM | 16 GB | 21.3 GB | $0.19/h 2x 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").