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---
library_name: peft
base_model: beomi/llama-2-ko-7b
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->
์•„์ง Study ์ค‘์ธ ๋ฉ€ํ‹ฐ ํ„ด ์ฑ—๋ด‡ ๋ชจ๋ธ.


## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->
<Prompt Template>
์ด์ „ ๋Œ€ํ™”์™€ ํ˜„์žฌ ๋Œ€ํ™”์˜ ๋ช…๋ น์–ด๋ฅผ ์ฐธ๊ณ ํ•˜์—ฌ ์ƒํ™ฉ์— ๊ณต๊ฐํ•˜๊ณ  ์นœ์ ˆํ•œ ์‘๋‹ต์„ ์ƒ์„ฑํ•ด์ฃผ์„ธ์š”. ์‘๋‹ต ๋งˆ์ง€๋ง‰์—๋Š” ์ง€๊ธˆ๊นŒ์ง€์˜ ๋‚ด์šฉ๊ณผ ๊ด€๋ จ๋œ ์งˆ๋ฌธ์„ ํ•ด์ฃผ์„ธ์š”.

[์ด์ „ ๋Œ€ํ™”]
{}

[ํ˜„์žฌ ๋Œ€ํ™”]
### ๋ช…๋ น์–ด:
{}

### ์‘๋‹ต:







## Training procedure


The following `bitsandbytes` quantization config was used during training:
- quant_method: bitsandbytes
- load_in_8bit: False
- load_in_4bit: True
- llm_int8_threshold: 6.0
- llm_int8_skip_modules: None
- llm_int8_enable_fp32_cpu_offload: False
- llm_int8_has_fp16_weight: False
- bnb_4bit_quant_type: nf4
- bnb_4bit_use_double_quant: False
- bnb_4bit_compute_dtype: float16

### Framework versions


- PEFT 0.6.2