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| Name | Quant method | Size |
|---|---|---|
| Yi-6B_Open-Platypus-v2.Q2_K.gguf | Q2_K | 2.18GB |
| Yi-6B_Open-Platypus-v2.IQ3_XS.gguf | IQ3_XS | 2.41GB |
| Yi-6B_Open-Platypus-v2.IQ3_S.gguf | IQ3_S | 2.53GB |
| Yi-6B_Open-Platypus-v2.Q3_K_S.gguf | Q3_K_S | 2.52GB |
| Yi-6B_Open-Platypus-v2.IQ3_M.gguf | IQ3_M | 2.62GB |
| Yi-6B_Open-Platypus-v2.Q3_K.gguf | Q3_K | 2.79GB |
| Yi-6B_Open-Platypus-v2.Q3_K_M.gguf | Q3_K_M | 2.79GB |
| Yi-6B_Open-Platypus-v2.Q3_K_L.gguf | Q3_K_L | 3.01GB |
| Yi-6B_Open-Platypus-v2.IQ4_XS.gguf | IQ4_XS | 3.11GB |
| Yi-6B_Open-Platypus-v2.Q4_0.gguf | Q4_0 | 3.24GB |
| Yi-6B_Open-Platypus-v2.IQ4_NL.gguf | IQ4_NL | 3.27GB |
| Yi-6B_Open-Platypus-v2.Q4_K_S.gguf | Q4_K_S | 3.26GB |
| Yi-6B_Open-Platypus-v2.Q4_K.gguf | Q4_K | 3.42GB |
| Yi-6B_Open-Platypus-v2.Q4_K_M.gguf | Q4_K_M | 3.42GB |
| Yi-6B_Open-Platypus-v2.Q4_1.gguf | Q4_1 | 3.58GB |
| Yi-6B_Open-Platypus-v2.Q5_0.gguf | Q5_0 | 3.92GB |
| Yi-6B_Open-Platypus-v2.Q5_K_S.gguf | Q5_K_S | 3.92GB |
| Yi-6B_Open-Platypus-v2.Q5_K.gguf | Q5_K | 4.01GB |
| Yi-6B_Open-Platypus-v2.Q5_K_M.gguf | Q5_K_M | 4.01GB |
| Yi-6B_Open-Platypus-v2.Q5_1.gguf | Q5_1 | 4.25GB |
| Yi-6B_Open-Platypus-v2.Q6_K.gguf | Q6_K | 4.63GB |
| Yi-6B_Open-Platypus-v2.Q8_0.gguf | Q8_0 | 6.0GB |
"<s>[INST]" + "instruction" + " [/INST] " + 'output' + " </s>"from transformers import AutoConfig, AutoModel, AutoTokenizer
model_name = 'hongzoh/Yi-6B_Open-Platypus-v2'
config = AutoConfig.from_pretrained("model_name")
model = AutoModel.from_pretrained("model_name")
tokenizer = AutoTokenizer.from_pretrained("model_name")