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Changgil_-_K2S3-Mistral-7b-v1.3-gguf

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Changgil_-_K2S3-Mistral-7b-v1.3-gguf
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Quantization made by Richard Erkhov.

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K2S3-Mistral-7b-v1.3 - GGUF
- Model creator: https://huggingface.co/Changgil/
- Original model: https://huggingface.co/Changgil/K2S3-Mistral-7b-v1.3/


| Name | Quant method | Size |
| ---- | ---- | ---- |
| [K2S3-Mistral-7b-v1.3.Q2_K.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q2_K.gguf) | Q2_K | 2.6GB |
| [K2S3-Mistral-7b-v1.3.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.IQ3_XS.gguf) | IQ3_XS | 2.89GB |
| [K2S3-Mistral-7b-v1.3.IQ3_S.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.IQ3_S.gguf) | IQ3_S | 3.04GB |
| [K2S3-Mistral-7b-v1.3.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q3_K_S.gguf) | Q3_K_S | 3.02GB |
| [K2S3-Mistral-7b-v1.3.IQ3_M.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.IQ3_M.gguf) | IQ3_M | 3.14GB |
| [K2S3-Mistral-7b-v1.3.Q3_K.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q3_K.gguf) | Q3_K | 3.35GB |
| [K2S3-Mistral-7b-v1.3.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q3_K_M.gguf) | Q3_K_M | 3.35GB |
| [K2S3-Mistral-7b-v1.3.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q3_K_L.gguf) | Q3_K_L | 3.64GB |
| [K2S3-Mistral-7b-v1.3.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.IQ4_XS.gguf) | IQ4_XS | 3.76GB |
| [K2S3-Mistral-7b-v1.3.Q4_0.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q4_0.gguf) | Q4_0 | 3.91GB |
| [K2S3-Mistral-7b-v1.3.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.IQ4_NL.gguf) | IQ4_NL | 3.95GB |
| [K2S3-Mistral-7b-v1.3.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q4_K_S.gguf) | Q4_K_S | 3.94GB |
| [K2S3-Mistral-7b-v1.3.Q4_K.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q4_K.gguf) | Q4_K | 4.15GB |
| [K2S3-Mistral-7b-v1.3.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q4_K_M.gguf) | Q4_K_M | 2.62GB |
| [K2S3-Mistral-7b-v1.3.Q4_1.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q4_1.gguf) | Q4_1 | 3.13GB |
| [K2S3-Mistral-7b-v1.3.Q5_0.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q5_0.gguf) | Q5_0 | 4.75GB |
| [K2S3-Mistral-7b-v1.3.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q5_K_S.gguf) | Q5_K_S | 4.75GB |
| [K2S3-Mistral-7b-v1.3.Q5_K.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q5_K.gguf) | Q5_K | 4.87GB |
| [K2S3-Mistral-7b-v1.3.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q5_K_M.gguf) | Q5_K_M | 4.87GB |
| [K2S3-Mistral-7b-v1.3.Q5_1.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q5_1.gguf) | Q5_1 | 5.16GB |
| [K2S3-Mistral-7b-v1.3.Q6_K.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q6_K.gguf) | Q6_K | 5.63GB |
| [K2S3-Mistral-7b-v1.3.Q8_0.gguf](https://huggingface.co/RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf/blob/main/K2S3-Mistral-7b-v1.3.Q8_0.gguf) | Q8_0 | 5.73GB |




Original model description:
---
license: cc-by-nc-4.0
language:
- en
- ko
---

---
## Developed by : 
* K2S3

## Model Number:
* K2S3-Mistral-7b-v1.3

## Base Model : 
* mistralai/Mistral-7B-v0.1
* Changgil/K2S3-Mistral-7b-v1.2

### Training Data
* The training data for this model includes alpaca-gpt4-data, and samples from The OpenOrca Dataset.
* 이 모델의 훈련 데이터에는 alpaca-gpt4-data, 그리고 OpenOrca Dataset에서 제공한 샘플들이 포함됩니다.

### Training Method
* This model was fine-tuned on the "Changgil/K2S3-Mistral-7b-v1.2" base model using a full parameter tuning method with SFT (Supervised Fine-Tuning).
* 이 모델은 "Changgil/K2S3-Mistral-7b-v1.2" 기반 모델을 SFT를 사용하여 전체 파라미터 조정 방법으로 미세조정되었습니다.

### Hardware
* Hardware: Utilized two A100 (80G*2EA) GPUs for training.
* Training Factors: This model was fine-tuned with SFT, using the HuggingFace SFTtrainer and applied fsdp. 
* 이 모델은 SFT를 사용하여 HuggingFace SFTtrainer와 fsdp를 적용하여 미세조정되었습니다.