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Models / gpt4all-j
GPU memory needed (smallest version of each): gpt4all-j ~6.17B about 16.8 GB. The cheapest runs on RTX 4000 Ada from $0.22/h right now.
1 model (~6.17B) · ↓ 716 downloads a month · from $0.22/h on RTX 4000 Ada 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 |
|---|---|---|---|---|
| Originalnomic-ai/gpt4all-j | vLLM | 12 GB | 16.8 GB | $0.22/h RTX 4000 Ada |
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").