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Changgil_-_K2S3-Mistral-7b-v1.3-gguf
RichardErkhov/Changgil_-_K2S3-Mistral-7b-v1.3-gguf
Changgil_-_K2S3-Mistral-7b-v1.3-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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.gguf92.6 GB · 100%
At a glance
- Access
- Public
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024
- SHA
- 19e5d5f6
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
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 | Q2_K | 2.6GB |
| K2S3-Mistral-7b-v1.3.IQ3_XS.gguf | IQ3_XS | 2.89GB |
| K2S3-Mistral-7b-v1.3.IQ3_S.gguf | IQ3_S | 3.04GB |
| K2S3-Mistral-7b-v1.3.Q3_K_S.gguf | Q3_K_S | 3.02GB |
| K2S3-Mistral-7b-v1.3.IQ3_M.gguf | IQ3_M | 3.14GB |
| K2S3-Mistral-7b-v1.3.Q3_K.gguf | Q3_K | 3.35GB |
| K2S3-Mistral-7b-v1.3.Q3_K_M.gguf | Q3_K_M | 3.35GB |
| K2S3-Mistral-7b-v1.3.Q3_K_L.gguf | Q3_K_L | 3.64GB |
| K2S3-Mistral-7b-v1.3.IQ4_XS.gguf | IQ4_XS | 3.76GB |
| K2S3-Mistral-7b-v1.3.Q4_0.gguf | Q4_0 | 3.91GB |
| K2S3-Mistral-7b-v1.3.IQ4_NL.gguf | IQ4_NL | 3.95GB |
| K2S3-Mistral-7b-v1.3.Q4_K_S.gguf | Q4_K_S | 3.94GB |
| K2S3-Mistral-7b-v1.3.Q4_K.gguf | Q4_K | 4.15GB |
| K2S3-Mistral-7b-v1.3.Q4_K_M.gguf | Q4_K_M | 2.62GB |
| K2S3-Mistral-7b-v1.3.Q4_1.gguf | Q4_1 | 3.13GB |
| K2S3-Mistral-7b-v1.3.Q5_0.gguf | Q5_0 | 4.75GB |
| K2S3-Mistral-7b-v1.3.Q5_K_S.gguf | Q5_K_S | 4.75GB |
| K2S3-Mistral-7b-v1.3.Q5_K.gguf | Q5_K | 4.87GB |
| K2S3-Mistral-7b-v1.3.Q5_K_M.gguf | Q5_K_M | 4.87GB |
| K2S3-Mistral-7b-v1.3.Q5_1.gguf | Q5_1 | 5.16GB |
| K2S3-Mistral-7b-v1.3.Q6_K.gguf | Q6_K | 5.63GB |
| 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.
- Created
- Jun 26, 2024
- Updated
- Jun 26, 2024