Zhipu AI · 9B · Dense
Multilingual model supporting 26 languages with 128K context
80.7K downloads
708 likes
2024-06 128K context
Use Cases
chat multilingual code
| Quant | Bits | VRAM | Quality | Status |
|---|---|---|---|---|
| Q2_K | 2 | 3.4 GB | low | — |
| Q3_K_M | 3 | 4.5 GB | moderate | — |
| Q4_K_M | 4 | 5.1 GB | good | — |
| Q5_K_M | 5 | 6.3 GB | good | — |
| Q6_K | 6 | 7.4 GB | excellent | — |
| Q8_0 | 8 | 9.7 GB | excellent | — |
| F16 | 16 | 18.9 GB | lossless | — |
GPUs that run GLM-4 9B
GLM-4 9B needs about 5.1 GB of VRAM at Q4_K_M, so it runs comfortably on a GPU with 6 GB of VRAM or more (157 of the GPUs we track). Common cards, smallest first:
| VRAM | GPUs |
|---|---|
| 6 GB | RTX 2060 , Arc A380 , RX 5600 XT |
| 8 GB | RTX 5060 Ti , RX 7600 , Arc A750 |
| 10 GB | RTX 3080 , RX 6700M |
| 11 GB | RTX 2080 Ti , GTX 1080 Ti |
About this model
Note: this model requires Ollama 0.2 or later.
In the evaluation of data sets in semantics, mathematics, reasoning, code, and knowledge, this model has shown superior performance beyond even Llama 3 8B.
This generation of models includes multi-language support, supporting 26 languages including Japanese, Korean, and German.