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Models / GLM-4.7-Flash
1 model (~31.2B) · ↓ 1.7M downloads a month · from $0.34/h on 2x RTX 5060 Ti 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 |
|---|---|---|---|---|
| Originalzai-org/GLM-4.7-Flash | vLLM | 62 GB | 75.1 GB | $0.89/h 2x Nvidia A40 |
| AWQ (QuantTrio)QuantTrio/GLM-4.7-Flash-AWQ | vLLM | 20 GB | 27.7 GB | $0.34/h 2x RTX 5060 Ti |
| AWQ 4bit (cyankiwi)cyankiwi/GLM-4.7-Flash-AWQ-4bit | vLLM | 20 GB | 26.8 GB | $0.34/h 2x RTX 5060 Ti |
| NVFP4 (GadflyII)GadflyII/GLM-4.7-Flash-NVFP4 | vLLM | 20 GB | 28.4 GB | $0.34/h 2x RTX 5060 Ti |
| FP8 Dynamic (unsloth)unsloth/GLM-4.7-Flash-FP8-Dynamic | vLLM | 33 GB | 40.5 GB | $0.45/h Nvidia A40 |
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").