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Model: Edentns/DataVortexTL-1.1B-v0.1
Source: Original Platform

.gitattributes

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README.md

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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>

config.json

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+{
+  "_name_or_path": "Edentns/DataVortexTL-1.1B-v0.1",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.36.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.2"
+}

model.safetensors

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+size 2200119864

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "right",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}