Views
No views yet
| Name | Quant method | Size |
|---|---|---|
| MiniPLM-Qwen-1.2B.Q2_K.gguf | Q2_K | 0.51GB |
| MiniPLM-Qwen-1.2B.Q3_K_S.gguf | Q3_K_S | 0.57GB |
| MiniPLM-Qwen-1.2B.Q3_K.gguf | Q3_K | 0.61GB |
| MiniPLM-Qwen-1.2B.Q3_K_M.gguf | Q3_K_M | 0.61GB |
| MiniPLM-Qwen-1.2B.Q3_K_L.gguf | Q3_K_L | 0.63GB |
| MiniPLM-Qwen-1.2B.IQ4_XS.gguf | IQ4_XS | 0.65GB |
| MiniPLM-Qwen-1.2B.Q4_0.gguf | Q4_0 | 0.67GB |
| MiniPLM-Qwen-1.2B.IQ4_NL.gguf | IQ4_NL | 0.67GB |
| MiniPLM-Qwen-1.2B.Q4_K_S.gguf | Q4_K_S | 0.69GB |
| MiniPLM-Qwen-1.2B.Q4_K.gguf | Q4_K | 0.72GB |
| MiniPLM-Qwen-1.2B.Q4_K_M.gguf | Q4_K_M | 0.72GB |
| MiniPLM-Qwen-1.2B.Q4_1.gguf | Q4_1 | 0.72GB |
| MiniPLM-Qwen-1.2B.Q5_0.gguf | Q5_0 | 0.78GB |
| MiniPLM-Qwen-1.2B.Q5_K_S.gguf | Q5_K_S | 0.79GB |
| MiniPLM-Qwen-1.2B.Q5_K.gguf | Q5_K | 0.81GB |
| MiniPLM-Qwen-1.2B.Q5_K_M.gguf | Q5_K_M | 0.81GB |
| MiniPLM-Qwen-1.2B.Q5_1.gguf | Q5_1 | 0.83GB |
| MiniPLM-Qwen-1.2B.Q6_K.gguf | Q6_K | 0.93GB |
| MiniPLM-Qwen-1.2B.Q8_0.gguf | Q8_0 | 1.15GB |


1@article{miniplm,
2 title={MiniPLM: Knowledge Distillation for Pre-Training Language Models},
3 author={Yuxian Gu and Hao Zhou and Fandong Meng and Jie Zhou and Minlie Huang},
4 journal={arXiv preprint arXiv:2410.17215},
5 year={2024}
6}