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Models / Qwen3.8 / Qwen3.8 27B
Text generation · served with ONNX Runtime GenAI · ↓ 54 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 |
|---|---|---|---|---|
| OriginalQwen/Qwen3.8-27B | vLLM | 56 GB | 66.3 GB | $0.89/h 2x Nvidia A40 |
| FP8Qwen/Qwen3.8-27B-FP8 | vLLM | 31 GB | 38.9 GB | $0.46/h RTX A6000 |
| NVFP4 (RadixArk)RadixArk/Qwen3.8-27B-NVFP4 | vLLM | 22 GB | 29 GB | $0.38/h 2x RTX 5060 Ti |
| AWQ INT4 (cyankiwi)cyankiwi/Qwen3.8-27B-AWQ-INT4 | vLLM | 21 GB | 28 GB | $0.38/h 2x RTX 5060 Ti |
| NVFP4 (nvidia)nvidia/Qwen3.8-27B-NVFP4 | vLLM | 22 GB | 29 GB | $0.38/h 2x RTX 5060 Ti |
| INT4 (RedHatAI)RedHatAI/Qwen3.8-27B-INT4 | vLLM | 19 GB | 26.2 GB | $0.38/h 2x RTX 5060 Ti |
| MTP NVFP4 (sakamakismile)sakamakismile/Qwen3.8-27B-MTP-NVFP4 | vLLM | 21 GB | 27.5 GB | $0.38/h 2x RTX 5060 Ti |
| NVFP4 (Inferact)Inferact/Qwen3.8-27B-NVFP4 | vLLM | 26 GB | 33.9 GB | $0.46/h RTX A6000 |
| NVFP4 RTX5090 (gittensor-model-hub)gittensor-model-hub/Qwen3.8-27B-NVFP4-RTX5090 | vLLM | 18 GB | 24.5 GB | $0.38/h 2x RTX 5060 Ti |
| NVFP4 BF16 LMHead (RadixArk)RadixArk/Qwen3.8-27B-NVFP4-BF16-LMHead | vLLM | 24 GB | 31 GB | $0.44/h RTX 5000 Ada |
| Uncensored FP8 (orcarouter)orcarouter/Qwen3.8-27B-Uncensored-FP8Licence to accept | vLLM | 31 GB | ~39.3 GB | $0.46/h RTX A6000 |
| QUASAR NVFP4 (QUASAR-QAT)QUASAR-QAT/Qwen3.8-27B-QUASAR-NVFP4 | vLLM | 21 GB | 27.5 GB | $0.38/h 2x RTX 5060 Ti |
| Uncensored NVFP4 (orcarouter)orcarouter/Qwen3.8-27B-Uncensored-NVFP4Licence to accept | vLLM | 25 GB | ~31.8 GB | $0.44/h RTX 5000 Ada |
| W4A16 AutoRound GPTQ (Vishva007)Vishva007/Qwen3.8-27B-W4A16-AutoRound-GPTQ | vLLM | 20 GB | 26.9 GB | $0.38/h 2x RTX 5060 Ti |
| FP8 Pessoa (lribeiro)lribeiro/Qwen3.8-27B-FP8-Pessoa | vLLM | 31 GB | 39.3 GB | $0.46/h RTX A6000 |
| W4A16 AWQ (philbert440)philbert440/Qwen3.8-27B-W4A16-AWQ | vLLM | 20 GB | 26.3 GB | $0.38/h 2x RTX 5060 Ti |
| INT8 W8A16 MTP (lued)lued/Qwen3.8-27B-INT8-W8A16-MTP | vLLM | 32 GB | 39.7 GB | $0.46/h RTX A6000 |
| AWQ INT4 (avyukth)avyukth/Qwen3.8-27B-AWQ-INT4 | vLLM | 19 GB | 25.2 GB | $0.38/h 2x RTX 5060 Ti |
| FP8 (huginnfork)huginnfork/Qwen3.8-27B-FP8 | vLLM | 38 GB | 47.3 GB | $0.46/h RTX A6000 |
| GPTQ Int4 sym G128 MTP BF16 (SergiioB)SergiioB/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16 | vLLM | 20 GB | 26.3 GB | $0.38/h 2x RTX 5060 Ti |
| GPTQ Int4 sym G128 MTP BF16 (mikeinnyc)mikeinnyc/Qwen3.8-27B-GPTQ-Int4-sym-G128-MTP-BF16 | vLLM | 20 GB | 26.3 GB | $0.38/h 2x RTX 5060 Ti |
| Ternary Bonsai 2 27B vllm (fraserprice)fraserprice/Ternary-Bonsai-2-27B-vllm | vLLM | 10 GB | 16 GB | $0.18/h 2x RTX 3060 |
| OrcaSAQ 2 27B (orcarouter)orcarouter/OrcaSAQ-2-27B | vLLM | 12 GB | 18.2 GB | $0.18/h 2x RTX 3060 |
| Escha W2 (EschaLabs)EschaLabs/Qwen3.8-27B-Escha-W2 | vLLM | 10 GB | 15.9 GB | $0.16/h RTX 4060 Ti |
| NVFP4 ONNX (tlwu)tlwu/Qwen3.8-27B-NVFP4-ONNX | ONNX Runtime GenAI | 23 GB | 29.7 GB | $0.18/h Nvidia V100 |
Deploying ONNX models from the catalog is coming soon. Today, download the files from Hugging Face and upload them in Inference.
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.