| Name | Quant method | Size |
|---|---|---|
| llama2-ko-DPO.Q2_K.gguf | Q2_K | 0.06GB |
| llama2-ko-DPO.Q3_K_S.gguf | Q3_K_S | 0.08GB |
| llama2-ko-DPO.Q3_K.gguf | Q3_K | 0.08GB |
| llama2-ko-DPO.Q3_K_M.gguf | Q3_K_M | 0.08GB |
| llama2-ko-DPO.Q3_K_L.gguf | Q3_K_L | 0.08GB |
| llama2-ko-DPO.IQ4_XS.gguf | IQ4_XS | 0.09GB |
| llama2-ko-DPO.Q4_0.gguf | Q4_0 | 0.1GB |
| llama2-ko-DPO.IQ4_NL.gguf | IQ4_NL | 0.1GB |
| llama2-ko-DPO.Q4_K_S.gguf | Q4_K_S | 0.1GB |
| llama2-ko-DPO.Q4_K.gguf | Q4_K | 0.1GB |
| llama2-ko-DPO.Q4_K_M.gguf | Q4_K_M | 0.1GB |
| llama2-ko-DPO.Q4_1.gguf | Q4_1 | 0.11GB |
| llama2-ko-DPO.Q5_0.gguf | Q5_0 | 0.12GB |
| llama2-ko-DPO.Q5_K_S.gguf | Q5_K_S | 0.12GB |
| llama2-ko-DPO.Q5_K.gguf | Q5_K | 0.12GB |
| llama2-ko-DPO.Q5_K_M.gguf | Q5_K_M | 0.12GB |
| llama2-ko-DPO.Q5_1.gguf | Q5_1 | 0.13GB |
| llama2-ko-DPO.Q6_K.gguf | Q6_K | 0.15GB |
| llama2-ko-DPO.Q8_0.gguf | Q8_0 | 0.19GB |
learning_rate: float = 3e-4
lr_scheduler: str = "cosine"
warmup_ratio: float = 0.1
lora_r: int = 16
lora_alpha: int = 16
lora_dropout: float = 0.05
optim='paged_adamw_32bit'
bf16=True