gguf endpoints_compatible region:us
---
{}
---
Quantization made by Richard Erkhov.

[Github](https://github.com/RichardErkhov)

[Discord](https://discord.gg/pvy7H8DZMG)

[Request more models](https://github.com/RichardErkhov/quant_request)


vitruv_2 - GGUF
- Model creator: https://huggingface.co/vitruv/
- Original model: https://huggingface.co/vitruv/vitruv_2/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [vitruv_2.Q2_K.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q2_K.gguf) | Q2_K | 3.79GB |
| [vitruv_2.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q3_K_S.gguf) | Q3_K_S | 4.41GB |
| [vitruv_2.Q3_K.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q3_K.gguf) | Q3_K | 4.91GB |
| [vitruv_2.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q3_K_M.gguf) | Q3_K_M | 4.91GB |
| [vitruv_2.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q3_K_L.gguf) | Q3_K_L | 5.33GB |
| [vitruv_2.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.IQ4_XS.gguf) | IQ4_XS | 5.5GB |
| [vitruv_2.Q4_0.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q4_0.gguf) | Q4_0 | 5.73GB |
| [vitruv_2.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.IQ4_NL.gguf) | IQ4_NL | 5.8GB |
| [vitruv_2.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q4_K_S.gguf) | Q4_K_S | 5.78GB |
| [vitruv_2.Q4_K.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q4_K.gguf) | Q4_K | 6.1GB |
| [vitruv_2.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q4_K_M.gguf) | Q4_K_M | 6.1GB |
| [vitruv_2.Q4_1.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q4_1.gguf) | Q4_1 | 6.35GB |
| [vitruv_2.Q5_0.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q5_0.gguf) | Q5_0 | 6.97GB |
| [vitruv_2.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q5_K_S.gguf) | Q5_K_S | 6.97GB |
| [vitruv_2.Q5_K.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q5_K.gguf) | Q5_K | 7.16GB |
| [vitruv_2.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q5_K_M.gguf) | Q5_K_M | 7.16GB |
| [vitruv_2.Q5_1.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q5_1.gguf) | Q5_1 | 7.59GB |
| [vitruv_2.Q6_K.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q6_K.gguf) | Q6_K | 8.29GB |
| [vitruv_2.Q8_0.gguf](https://huggingface.co/RichardErkhov/vitruv_-_vitruv_2-gguf/blob/main/vitruv_2.Q8_0.gguf) | Q8_0 | 10.74GB |




Original model description:
---
license: apache-2.0
language:
- ko
---

---

Who we are : Virtruv

해당 모델은 한국어 중 수학 모델에 집중하여 학습을 시도하였습니다.

Base Model : 'vitruv/vitruv1'

Dataset : 1 . traintogpb/aihub-koen-translation-integrated-tiny-100k

kyujinpy/KOR-gugugu-platypus-set

GAIR/MathPile : 다음 데이터 셋을 sampling 하여 직접 translate, 하였습니다.


## What Added ?  


Dataset 3:  
출처 : AIHUB

DATASET 4: 한국어 문화 (영화/드라마) 대본
출처 : AIHUB 


DATASET 5: 전문 전화 상담 내역
출처 : AIHUB



Prompt:

