Upload README.md

README.md

@@ -1,3 +1,56 @@
 ---
+language:
+- ko
+datasets: 
+- kyujinpy/OpenOrca-ko-v3
+library_name: transformers
+pipeline_tag: text-generation
 license: cc-by-nc-sa-4.0
 ---
+
+# **⭐My custom LLM 13B⭐**  
+
+## Model Details   
+**Model Developers**  
+- Kyujin Han (kyujinpy)  
+
+**Model Architecture**  
+- My custom LLM 13B is an auto-regressive language model based on the LLaMA2 transformer architecture.  
+
+**Base Model**   
+- [beomi/llama-2-koen-13b](https://huggingface.co/beomi/llama-2-koen-13b)   
+
+**Training Dataset**   
+- [kyujinpy/OpenOrca-ko-v3](https://huggingface.co/datasets/kyujinpy/OpenOrca-ko-v3).  
+
+---  
+# Model comparisons
+> Ko-LLM leaderboard(11/27; [link](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard))
+   
+| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| ⭐My custom LLM 13B-v1⭐ | **50.19** | **45.99** | 56.93 | 41.78 | 41.66 | **64.58** | 
+| ⭐My custom LLM 13B-v4⭐ | 49.89 | 45.05 | **57.06** | **41.83** | **42.93** | 62.57 | 
+| **⭐My custom LLM 13B-v8⭐** | 49.84 | 45.65 | 56.98 | 41.37 | 41.42 | 59.50 | 
+  
+--- 
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "PracticeLLM/Custom-KoLLM-13B-v8"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+# Hyperparameters
+- QLoRA  
+- lora_target_modules '[gate_proj, down_proj, up_proj]'  
+- lora_r 64