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Model: Edentns/DataVortexTL-1.1B-v0.1 Source: Original Platform
2026-05-19 13:39:10 +08:00
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+---
+tags:
+    - text-generation
+license: cc-by-nc-sa-4.0
+language:
+    - ko
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+pipeline_tag: text-generation
+datasets:
+    - beomi/KoAlpaca-v1.1a
+    - jojo0217/korean_rlhf_dataset
+    - kyujinpy/OpenOrca-KO
+    - nlpai-lab/kullm-v2
+widget:
+   - text: >
+       <|system|>
+ 
+       You are a chatbot who answers User's questions.
+ 
+       <|user|>
+ 
+       대한민국의 수도는 어디야?
+ 
+       <|assistant|>
+---
+
+# **DataVortexTL-1.1B-v0.1**
+
+<img src="./DataVortex.png" alt="DataVortex" style="height: 8em;">
+
+## Our Team
+
+| Research & Engineering | Product Management |
+| :--------------------: | :----------------: |
+|     Kwangseok Yang     |   Seunghyun Choi   |
+|     Jeongwon Choi      |    Hyoseok Choi    |
+
+## **Model Details**
+
+### **Base Model**
+
+[TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
+
+### **Trained On**
+
+-   **OS**: Ubuntu 20.04
+-   **GPU**: H100 80GB 1ea
+-   **transformers**: v4.36.2
+
+### **Dataset**
+
+-   [beomi/KoAlpaca-v1.1a](https://huggingface.co/datasets/beomi/KoAlpaca-v1.1a)
+-   [jojo0217/korean_rlhf_dataset](https://huggingface.co/datasets/jojo0217/korean_rlhf_dataset)
+-   [kyujinpy/OpenOrca-KO](https://huggingface.co/datasets/kyujinpy/OpenOrca-KO)
+-   [nlpai-lab/kullm-v2](https://huggingface.co/datasets/nlpai-lab/kullm-v2)
+
+### **Instruction format**
+
+It follows **TinyLlama** format.
+
+E.g.
+
+```python
+text = """\
+<|system|>
+당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다.</s>
+<|user|>
+대한민국의 수도는 어디야?</s>
+<|assistant|>
+대한민국의 수도는 서울입니다.</s>
+<|user|>
+서울 인구는 총 몇 명이야?</s>
+"""
+```
+
+## **Model Benchmark**
+
+### **[Ko LM Eval Harness](https://github.com/Beomi/ko-lm-evaluation-harness)**
+
+| Task             |         0-shot |         5-shot |        10-shot |      50-shot |
+| :--------------- | -------------: | -------------: | -------------: | -----------: |
+| kobest_boolq     |       0.334282 |       0.516446 |       0.500478 |     0.498941 |
+| kobest_copa      |       0.515061 |       0.504321 |       0.492927 |      0.50809 |
+| kobest_hellaswag |        0.36253 |       0.357733 |       0.355873 |     0.376502 |
+| kobest_sentineg  |       0.481146 |       0.657411 |       0.687417 |     0.635703 |
+| **Average**      | **0.42325475** | **0.50897775** | **0.50917375** | **0.504809** |
+
+### **[Ko-LLM-Leaderboard](https://huggingface.co/spaces/upstage/open-ko-llm-leaderboard)**
+
+| Average | Ko-ARC | Ko-HellaSwag | Ko-MMLU | Ko-TruthfulQA | Ko-CommonGen V2 |
+| ------: | -----: | -----------: | ------: | ------------: | --------------: |
+|    31.5 |  25.26 |        33.53 |   24.56 |         43.34 |           30.81 |
+
+## **Implementation Code**
+
+This model contains the chat_template instruction format.  
+You can use the code below.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+device = "cuda" # the device to load the model onto
+
+model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexTL-1.1B-v0.1")
+tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexTL-1.1B-v0.1")
+
+messages = [
+    {"role": "system", "content": "당신은 사람들이 정보를 찾을 수 있도록 도와주는 인공지능 비서입니다."},
+    {"role": "user", "content": "대한민국의 수도는 어디야?"},
+    {"role": "assistant", "content": "대한민국의 수도는 서울입니다."},
+    {"role": "user", "content": "서울 인구는 총 몇 명이야?"}
+]
+
+encodeds = tokenizer.apply_chat_template(messages, return_tensors="pt")
+
+model_inputs = encodeds.to(device)
+model.to(device)
+
+generated_ids = model.generate(model_inputs, max_new_tokens=1000, do_sample=True)
+decoded = tokenizer.batch_decode(generated_ids)
+print(decoded[0])
+```
+
+## **License**
+
+The model is licensed under the [cc-by-nc-sa-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) license, which allows others to copy, modify, and share the work non-commercially, as long as they give appropriate credit and distribute any derivative works under the same license.
+
+<div align="center">
+    <a href="https://edentns.com/">
+        <img src="./Logo.png" alt="Logo" style="height: 3em;">
+    </a>
+</div>