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 ``` [INST]{['instruction']}[/INST]{['output']} ``` ## 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)