Ling-3.0-flash-Sante: hardware requirements
Ling-3.0-flash-Sante needs about 117 GB of memory at Q6_K quantization: a 111 GB download plus room for context and a runtime allowance. That is beyond consumer hardware; use it through an API instead.
This is a mixture-of-experts model. Only a fraction of its 127B parameters are used for each token, so it runs faster than its size suggests, but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →
Will it run on your machine?
Download sizes by quantization
Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?
| Quant | Download | RAM @ 4K | RAM @ 32K | Source |
|---|---|---|---|---|
| Q6_K | 111 GB | 117 GB | 137 GB | AtomicChat/Ling-3.0-flash-Sante-GGUF |
| Q8_0 | 136 GB | 142 GB | 162 GB | AtomicChat/Ling-3.0-flash-Sante-GGUF |
Download sizes are measured from the published files named in the Source column. The RAM columns add the context cache, calculated from the model's configuration, and a runtime allowance of 10% of the download (at least 0.5GB, at most 3GB).