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Models / gemma-4 / gemma-4 31B
Text generation · served with vLLM · ↓ 1M 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 |
|---|---|---|---|---|
| Originalgoogle/gemma-4-31B | vLLM | 63 GB | 80.7 GB | $0.89/h 2x Nvidia A40 |
| itgoogle/gemma-4-31B-it | vLLM | 63 GB | 80.7 GB | $0.89/h 2x Nvidia A40 |
| it qat w4a16 ctgoogle/gemma-4-31B-it-qat-w4a16-ct | vLLM | 23 GB | 37 GB | $0.45/h Nvidia A40 |
| it qat q4 0 unquantizedgoogle/gemma-4-31B-it-qat-q4_0-unquantized | vLLM | 63 GB | 80.7 GB | $0.89/h 2x Nvidia A40 |
| IT NVFP4 (nvidia)nvidia/Gemma-4-31B-IT-NVFP4 | vLLM | 33 GB | 47.4 GB | $0.46/h RTX A6000 |
| it FP8 block (RedHatAI)RedHatAI/gemma-4-31B-it-FP8-block | vLLM | 33 GB | 48.1 GB | $0.78/h 4x RTX 4060 Ti |
| it qat NVFP4 Blackwell (melcheikh)melcheikh/gemma-4-31B-it-qat-NVFP4-Blackwell | vLLM | 20 GB | 33.9 GB | $0.45/h Nvidia A40 |
| it AWQ (QuantTrio)QuantTrio/gemma-4-31B-it-AWQ | vLLM | 20 GB | 33.9 GB | $0.45/h Nvidia A40 |
| it FP8 dynamic (RedHatAI)RedHatAI/gemma-4-31B-it-FP8-dynamic | vLLM | 33 GB | 48.1 GB | $0.78/h 4x RTX 4060 Ti |
| it NVFP4 turbo (LilaRest)LilaRest/gemma-4-31B-it-NVFP4-turbo | vLLM | 19 GB | 32.6 GB | $0.45/h Nvidia A40 |
| it AWQ 4bit (cyankiwi)cyankiwi/gemma-4-31B-it-AWQ-4bit | vLLM | 21 GB | 34.4 GB | $0.45/h Nvidia A40 |
| it 4bit W4A16 AWQ (ebircak)ebircak/gemma-4-31B-it-4bit-W4A16-AWQ | vLLM | 19 GB | 32.5 GB | $0.45/h Nvidia A40 |
$1.26/h from your balance while it runs, billed by the hour; stop it from its page. GridPup rents the machine with vLLM, which downloads the model from Hugging Face (usually ready in 10 to 15 minutes), and gives you an https address, keys and a Playground.
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.