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README.md

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+Quantization made by Richard Erkhov.
+
+[Github](https://github.com/RichardErkhov)
+
+[Discord](https://discord.gg/pvy7H8DZMG)
+
+[Request more models](https://github.com/RichardErkhov/quant_request)
+
+
+mistral-ko-7b-tech - GGUF
+- Model creator: https://huggingface.co/shleeeee/
+- Original model: https://huggingface.co/shleeeee/mistral-ko-7b-tech/
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [mistral-ko-7b-tech.Q2_K.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q2_K.gguf) | Q2_K | 2.53GB |
+| [mistral-ko-7b-tech.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.IQ3_XS.gguf) | IQ3_XS | 2.81GB |
+| [mistral-ko-7b-tech.IQ3_S.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.IQ3_S.gguf) | IQ3_S | 2.96GB |
+| [mistral-ko-7b-tech.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q3_K_S.gguf) | Q3_K_S | 2.95GB |
+| [mistral-ko-7b-tech.IQ3_M.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.IQ3_M.gguf) | IQ3_M | 3.06GB |
+| [mistral-ko-7b-tech.Q3_K.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q3_K.gguf) | Q3_K | 3.28GB |
+| [mistral-ko-7b-tech.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q3_K_M.gguf) | Q3_K_M | 3.28GB |
+| [mistral-ko-7b-tech.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q3_K_L.gguf) | Q3_K_L | 3.56GB |
+| [mistral-ko-7b-tech.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.IQ4_XS.gguf) | IQ4_XS | 3.67GB |
+| [mistral-ko-7b-tech.Q4_0.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q4_0.gguf) | Q4_0 | 3.83GB |
+| [mistral-ko-7b-tech.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.IQ4_NL.gguf) | IQ4_NL | 3.87GB |
+| [mistral-ko-7b-tech.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q4_K_S.gguf) | Q4_K_S | 3.86GB |
+| [mistral-ko-7b-tech.Q4_K.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q4_K.gguf) | Q4_K | 4.07GB |
+| [mistral-ko-7b-tech.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q4_K_M.gguf) | Q4_K_M | 4.07GB |
+| [mistral-ko-7b-tech.Q4_1.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q4_1.gguf) | Q4_1 | 4.24GB |
+| [mistral-ko-7b-tech.Q5_0.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q5_0.gguf) | Q5_0 | 4.65GB |
+| [mistral-ko-7b-tech.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q5_K_S.gguf) | Q5_K_S | 4.65GB |
+| [mistral-ko-7b-tech.Q5_K.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q5_K.gguf) | Q5_K | 4.78GB |
+| [mistral-ko-7b-tech.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q5_K_M.gguf) | Q5_K_M | 4.78GB |
+| [mistral-ko-7b-tech.Q5_1.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q5_1.gguf) | Q5_1 | 5.07GB |
+| [mistral-ko-7b-tech.Q6_K.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q6_K.gguf) | Q6_K | 5.53GB |
+| [mistral-ko-7b-tech.Q8_0.gguf](https://huggingface.co/RichardErkhov/shleeeee_-_mistral-ko-7b-tech-gguf/blob/main/mistral-ko-7b-tech.Q8_0.gguf) | Q8_0 | 7.17GB |
+
+
+
+
+Original model description:
+---
+language:
+- ko
+pipeline_tag: text-generation
+tags:
+- finetune
+license: other
+---
+# Model Card for mistral-ko-7b-tech
+It is a fine-tuned model using Korean in the mistral-7b model.
+
+## Model Details
+
+* **Model Developers** :  shleeeee(Seunghyeon Lee), oopsung(Sungwoo Park)
+* **Repository** : To be added
+* **Model Architecture** : The mistral-ko-7b-wiki-neft is is a fine-tuned version of the Mistral-7B-v0.1.
+* **Lora target modules** : q_proj, k_proj, v_proj, o_proj,gate_proj
+* **train_batch** : 4
+* **Max_step** : 500
+
+## Dataset
+Korean Custom Dataset(2000)
+
+## Prompt template: Mistral
+```
+<s>[INST]{['instruction']}[/INST]{['output']}</s>
+```
+
+## Usage
+``` 
+# Load model directly
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("shleeeee/mistral-ko-7b-tech")
+model = AutoModelForCausalLM.from_pretrained("shleeeee/mistral-ko-7b-tech")
+
+# Use a pipeline as a high-level helper
+from transformers import pipeline
+
+pipe = pipeline("text-generation", model="shleeeee/mistral-ko-7b-tech")
+```
+
+## Evaluation
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/654495fa893aec5da96e9134/6z75dYa8TdTy4Y7EIl0CK.png)
+