Update README.md

README.md

@@ -4,74 +4,61 @@ license: cc-by-nc-4.0
 
 # 42dot_LLM-PLM-1.3B_GGUF #
 
-* Model Creator: [42dot](https://huggingface.co/42dot)
-* original Model: [42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B)
+* 모델 만든 사람: [42dot](https://huggingface.co/42dot)
+* 원본 모델: [42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B)
 
-## Description ## 
+## 설명 ## 
 
-This repository contains the GGUF conversion and the most relevant quantizations 
-of 42dot's
-[42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B) model - ready 
-to be used with [llama.cpp](https://github.com/ggerganov/llama.cpp) and similar 
-applications.
+42dot 모델의 GGUF 경량화 모델을 만들어 뒀습니다.
 
-## Files ##
+[42dot_LLM-PLM-1.3B](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B) 
 
-In order to allow for fine-tuning (the model has the required LLaMA architecture)
-the original GGUF conversion has been made available
+## 파일 ##
 
-* [42dot_LLM-PLM-1.3B.gguf](https://huggingface.co/rozek/42dot_LLM-SFT-1.3B_GGUF/blob/main/42dot_LLM-SFT-1.3B.gguf)
+링크에 연결 해두었으니 필요하신 분은 하트 주고 챙겨 가세요.
+gguf 원본 파일
+* [42dot_LLM-PLM-1.3B.gguf](https://huggingface.co/StatPan/42dot_LLM-PLM-1.3B_GGUF/resolve/main/ggml-model-f32.gguf?download=true)
 
-From this file, the following quantizations were derived:
+Q4, Q8 경량화 파일
 
-* [42dot_LLM-SFT-1.3B-Q4_K_M](https://huggingface.co/rozek/42dot_LLM-SFT-1.3B_GGUF/blob/main/42dot_LLM-SFT-1.3B_Q5_K_M.gguf)
-* [42dot_LLM-SFT-1.3B-Q5_K_M](https://huggingface.co/rozek/42dot_LLM-SFT-1.3B_GGUF/blob/main/42dot_LLM-SFT-1.3B_Q5_K_M.gguf)
-* [42dot_LLM-SFT-1.3B-Q6_K](https://huggingface.co/rozek/42dot_LLM-SFT-1.3B_GGUF/blob/main/42dot_LLM-SFT-1.3B_Q6_0.gguf)
-* [42dot_LLM-SFT-1.3B-Q8_K](https://huggingface.co/rozek/42dot_LLM-SFT-1.3B_GGUF/blob/main/42dot_LLM-SFT-1.3B_Q8_0.gguf)
+* [42dot_LLM-PLM-1.3B-Q4_K_M](https://huggingface.co/StatPan/42dot_LLM-PLM-1.3B_GGUF/resolve/main/gguf-q4_k_m.gguf?download=true)
+* [42dot_LLM-PLM-1.3B-Q8_K](https://huggingface.co/StatPan/42dot_LLM-PLM-1.3B_GGUF/resolve/main/gguf-q8_k_m.gguf?download=true)
 
-(tell me if you need more)
+이외 모델은 근본 없어서 올릴까 하다가 안 올리려고 합니다.
 
-## Usage Details ##
+## 사용법 ##
 
-Any technical details can be found on the
-[original model card](https://huggingface.co/42dot/42dot_LLM-SFT-1.3B)
-The most important ones for using this model are
 
-* context length is 4096
-* there does not seem to be a specific prompt structure - just provide the text
-you want to be completed
+[원본](https://huggingface.co/42dot/42dot_LLM-PLM-1.3B)
 
-### Text Completion with LLaMA.cpp ###
+원본 링크에서 사용 법을 확인하세요.
+
+
+### Llama.cpp로 사용법 샘플 ###
 
 For simple inferencing, use a command similar to 
 
 ```
-./main -m 42dot_LLM-SFT-1.3B-Q8_K.gguf --temp 0 --top-k 4 --prompt "who was Joseph Weizenbaum?"
+./main -m gguf-q4_k_m.gguf --temp 0 --top-k 4 --prompt "who was Joseph Weizenbaum?"
 ```
 
-### Text Tokenization with LLaMA.cpp ###
+### Llama.cpp로 토크나이징 샘플 ###
 
 To get a list of tokens, use a command similar to 
 
 ```
-./tokenization -m 42dot_LLM-SFT-1.3B-Q8_K.gguf --prompt "who was Joseph Weizenbaum?"
+./tokenization -m gguf-q4_k_m.gguf --prompt "who was Joseph Weizenbaum?"
 ```
 
-### Embeddings Calculation with LLaMA.cpp ###
+### Llama.cpp로 임베딩 샘플 ###
 
 Text embeddings are calculated with a command similar to 
 
 ```
-./embedding -m 42dot_LLM-SFT-1.3B-Q8_K.gguf --prompt "who was Joseph Weizenbaum?"
+./embedding -m gguf-q4_k_m.gguf --prompt "who was Joseph Weizenbaum?"
 ```
 
 ## License ##
 
-The original model "_is licensed under the Creative Commons 
-Attribution-NonCommercial 4.0 (CC BY-NC 4.0)_" - for that reason, the same 
-license was also chosen for the conversions found in this repository.
-
-So, in order to be fair and give credits to whom they belong:
-
-* the original model was created and published by [42dot](https://huggingface.co/42dot)
-* besides quantization, no changes were applied to the model itself
+원본 모델 라이센스는 Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)
+참고하세요.