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--- |
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language: |
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- jv |
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license: apache-2.0 |
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tags: |
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- text-generation-inference |
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- transformers |
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- unsloth |
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- qwen2 |
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- trl |
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- sft |
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datasets: |
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- afrizalha/Gatra-2-Javanese |
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--- |
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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="UTF-8"> |
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<meta name="viewport" content="width=device-width, initial-scale=1.0"> |
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<title>Document Title</title> |
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<style> |
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h1 { |
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font-size: 36px; |
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color: navy; |
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font-family: 'Tahoma'; |
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text-align: center; |
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} |
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</style> |
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</head> |
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<body> |
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<h1> Open models for indigenous Indonesian languages</h1> |
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</body> |
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</html> |
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<center> |
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<img src="https://imgur.com/PutckEK.png" alt="Bakpia" width="500" height="250"> |
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<p><em>Bakpia is a family of open language models capable of responding in Javanese language. Version one of Bakpia is the first generative Javanese LLM gain functional instruction performance using solely synthetic data.</em></p> |
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<p><em style="color: black; font-weight: bold;">Beta preview</em></p> |
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</center> |
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Bakpia V1 is a family of Javanese language models. It is fine-tuned from available open models using massive synthetic data for Krama Javanese, where the prompts are generated by GPT-4o and the responses are generated by Claude 3 Haiku. |
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This repository contains the fp16 version of Bakpia V1 1.5B. |
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| Version | Base Model | URL | Training | |
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|---------|------------|-----|----------| |
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| V1 0.5B | Qwen 2 0.5B Instruct | [fp16](https://huggingface.co/afrizalha/Bakpia-V1-0.5B-Javanese/) | Epoch = 1, Batch = 16\*8, lr = 5e-5, linear schedule| |
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| V1 1.5B | Qwen 2 1.5B Instruct | [fp16](https://huggingface.co/afrizalha/Bakpia-V1-1.5B-Javanese) | Epoch = 1, Batch = 16\*8, lr = 5e-5, linear schedule| |
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| V1 9B | Gemma 2 9B Instruct | [fp16](https://huggingface.co/afrizalha/Bakpia-V1-9B-Javanese-fp16)/[4bit](https://huggingface.co/afrizalha/Bakpia-V1-9B-Javanese-4bit/) |Batch size = 16\*8, lr = 4e-5, linear schedule| |
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Training data is accessible [here](https://huggingface.co/datasets/afrizalha/Gatra-2-Javanese). |
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## Version 1.0 |
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This is the first version of Bakpia. |
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✨ Training |
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- 36K input-output pairs |
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- 64/128 lora r/alpha |
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- Rank-stabilized lora |
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✨ Features |
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- Single-turn QA across various domains. |
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- Ngoko Javanese not currently supported. |
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## Generate with template |
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``` |
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from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer |
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tokenizer = AutoTokenizer.from_pretrained("afrizalha/Bakpia-V1-1.5B-Javanese") |
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model = AutoModelForCausalLM.from_pretrained("afrizalha/Bakpia-V1-1.5B-Javanese") |
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model.to("cuda") |
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template = """<|im_start|>system |
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<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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""" |
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input = template.format(prompt="Kados pundi kulo saged nyinaoni Basa Jawa kanthi sae?") |
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input = tokenizer([input], return_tensors = "pt").to("cuda") |
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outputs = model.generate(**input, max_new_tokens = 1024, streamer= TextStreamer(tokenizer), temperature=.5, use_cache=True, do_sample=True) |
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``` |
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## Acknowledgments |
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- **Developed by:** Afrizal Hasbi Azizy |
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- **License:** Apache-2.0 |
