初始化项目，由ModelHub XC社区提供模型

Model: leejaymin/etri-ones-solar
Source: Original Platform

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README.md

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+---
+language:
+- ko
+datasets: 
+- instruction
+library_name: transformers
+pipeline_tag: text-generation
+license: mit
+---
+# **etri-ones-solar**  
+
+## Model Details   
+**Model Developers**  
+- the model is fine-tuned by open instruction dataset
+
+**Model Architecture**  
+- this model is an auto-regressive language model based on the solar transformer architecture.  
+
+**Base Model**   
+- solar https://huggingface.co/upstage/SOLAR-10.7B-v1.0  
+
+**Training Dataset**   
+- 
+
+---  
+# Model comparisons1
+> comming soon
+   
+| Model | Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| --- | --- | --- | --- | --- | --- | --- |
+| **[...your_model_name...]** | NaN | NaN | NaN | NaN | NaN | NaN | 
+  
+---  
+# Model comparisons2
+> AI-Harness evaluation; [link](https://github.com/Beomi/ko-lm-evaluation-harness)   
+   
+| Model | Copa | Copa | HellaSwag | HellaSwag | BoolQ | BoolQ | Sentineg | Sentineg |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- |
+|  | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot | 0-shot | 5-shot |
+| **[...your_model_name...]** | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
+  
+---
+# Implementation Code
+```python
+### KO-Platypus
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+repo = "[...your_model_repo...]"
+OpenOrca = AutoModelForCausalLM.from_pretrained(
+        repo,
+        return_dict=True,
+        torch_dtype=torch.float16,
+        device_map='auto'
+)
+OpenOrca_tokenizer = AutoTokenizer.from_pretrained(repo)
+```
+
+---

config.json

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+{
+  "_name_or_path": "./custom_LLM_final",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.34.1",
+  "use_cache": false
+}

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special_tokens_map.json

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+}

tokenizer_config.json

@@ -0,0 +1,44 @@
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