JeongwonChoi
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Initial commit
Browse files- DataVortex.png +0 -0
- Logo.png +0 -0
- README.md +79 -0
- config.json +28 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
DataVortex.png
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Logo.png
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README.md
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---
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tags:
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- text-generation
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license: cc-by-nc-sa-4.0
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language:
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- ko
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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pipeline_tag: text-generation
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---
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# **DataVortexTL-1.1B-v0.1**
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<img src="./DataVortex.png" alt="DataVortex" style="height: 8em;">
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## **License**
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[cc-by-nc-sa-4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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## **Model Details**
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### **Base Model**
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[TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0)
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### **Trained On**
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H100 80GB 1ea
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### **Instruction format**
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<!-- It follows **(No Input) Alpaca** format. -->
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## **Model Benchmark**
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### **Ko-LLM-Leaderboard**
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On Benchmarking...
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# **Implementation Code**
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Since, chat_template already contains insturction format above.
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You can use the code below.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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device = "cuda"
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model = AutoModelForCausalLM.from_pretrained("Edentns/DataVortexTL-1.1B-v0.1", device_map=device)
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tokenizer = AutoTokenizer.from_pretrained("Edentns/DataVortexTL-1.1B-v0.1")
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messages = [
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{ "role": "user", "content": "대한민국의 수도는 어디야?" }
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]
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encoded = tokenizer.apply_chat_template(
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messages,
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add_generation_prompt=True,
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return_tensors="pt",
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return_token_type_ids=False
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).to(device)
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decoded = model.generate(
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input_ids=encoded,
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temperature=0.2,
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top_p=0.9,
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repetition_penalty=1.2,
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do_sample=True,
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max_length=4096,
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eos_token_id=tokenizer.eos_token_id,
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pad_token_id=tokenizer.eos_token_id
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)
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decoded = decoded[0][encoded.shape[1]:decoded[0].shape[-1]]
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decoded_text = tokenizer.decode(decoded, skip_special_tokens=True)
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print(decoded_text)
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```
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<div align="center">
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<a href="https://edentns.com/">
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<img src="./Logo.png" alt="Logo" style="height: 3em;">
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</a>
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</div>
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config.json
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{
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"_name_or_path": "Edentns/DataVortexTL-1.1B-v0.1",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.36.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1e85fb779e33786c72ae49ce2d557849ca75e3f510ddbe0a6d62b3e993554d2
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size 2200119864
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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