README.md

---
license: cc-by-sa-4.0
language:
- ko
- en
inference: false
model_creator: maywell
model_name: kiqu-70b
model_type: mistral
prompt_template: |
  [INST] {prompt} [/INST]
quantized_by: noopSD
library_name: GGUF
pipeline_tag: text-generation
---

> This repo contains quantized large language model(LLM) weight files in GGUF format for [maywell/kiqu-70b](https://huggingface.co/maywell/kiqu-70b). The IQ quantized model files are calibrated with [20k_random_data.txt](https://github.com/ggerganov/llama.cpp/files/13970111/20k_random_data.txt)

| Quant Type  |       Size    |            BPW |            Perplexity |
| ----------- | ------------: | -------------: | --------------------: |
| IQ1_S       |       14.5 GB |  1.5625 – 1.69 |   16.5308 +/- 0.13137 |
| IQ2_XXS     |       18.3 GB |  2.0625 – 2.12 |   12.1174 +/- 0.09202 |
| IQ2_XS      |       20.3 GB |  2.3125 – 2.36 |   11.2679 +/- 0.08525 |
| IQ3_XXS     |         27 GB |  3.0625 – 3.13 |   10.0546 +/- 0.07674 |
| Q2_K        |       25.5 GB |           2.95 |    4.2965 +/- 0.02164 |
| Q4_0        |       38.9 GB |           4.51 |    3.7527 +/- 0.01835 |
| Q5_K_M      |       48.8 GB |           5.65 |    3.7237 +/- 0.01833 |

***

# **kiqu-70b** [(Arena Leaderboard)](https://huggingface.co/spaces/instructkr/ko-chatbot-arena-leaderboard)

<img src="./kiqu.webp" alt="kiqu-70B" width="390"/>

**kiqu-70b** is a SFT+DPO trained model based on Miqu-70B-Alpaca-DPO using **Korean** datasets.

Since this model is finetune of miqu-1-70b using it on commercial purposes is at your own risk. — leaked early version Mistral-Medium

본 모델 **kiqu-70b**는 Miqu-70B-Alpaca-DPO 모델을 기반으로 **한국어** 데이터셋을 사용하여 SFT+DPO 훈련을 진행하여 제작되었습니다.

베이스 모델인 miqu-1-70b 모델이 미스트랄-미디움의 초기 유출 버전이기에 상업적 사용에 대한 risk는 본인에게 있습니다.

Beside that this model follows **cc-by-sa-4.0**

본 모델 자체로서는 **cc-by-sa-4.0**을 따릅니다.

# **Model Details**

**Base Model**  
miqu-1-70b (Early Mistral-Medium)

**Instruction format**

It follows **Mistral** format.
Giving few-shots to model is highly recommended

본 모델은 미스트랄 포맷을 따릅니다.
few-shot 사용을 적극 권장합니다.

```
[INST] {instruction}
[/INST] {output}
```

Multi-shot

```
[INST] {instruction}
[/INST] {output}

[INST] {instruction}
[/INST] {output}

[INST] {instruction}
[/INST] {output}
.
.
.
```

**Recommended Template** - 1-shot with system prompt

```
너는 kiqu-70B라는 한국어에 특화된 언어모델이야. 깔끔하고 자연스럽게 대답해줘!
[INST] 안녕?
[/INST] 안녕하세요! 무엇을 도와드릴까요? 질문이나 궁금한 점이 있다면 언제든지 말씀해주세요.

[INST] {instruction}
[/INST]
```

Trailing space after [/INST] can affect models performance in significant margin. So, when doing inference it is recommended to not include trailing space in chat template.

[/INST] 뒤에 띄어쓰기는 모델 성능에 유의미한 영향을 미칩니다. 따라서, 인퍼런스(추론)과정에서는 챗 템플릿에 띄어쓰기를 제외하는 것을 적극 권장합니다.

# **Model Benchmark**

TBD

# **Author's Message**

This model's training got sponsered by no one but support from people around Earth.

[Support Me](https://www.buymeacoffee.com/mwell)

[Discord Server](https://discord.gg/MrBt3PXdXc)

Contact Me on Discord - is.maywell

Follow me on twitter - https://twitter.com/stablefluffy