afrizalha/Bakpia-V1-1.5B-Javanese

Open models for indigenous Indonesian languages

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.

Beta preview

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.

This repository contains the fp16 version of Bakpia V1 1.5B.

Version	Base Model	URL	Training
V1 0.5B	Qwen 2 0.5B Instruct	fp16	Epoch = 1, Batch = 16*8, lr = 5e-5, linear schedule
V1 1.5B	Qwen 2 1.5B Instruct	fp16	Epoch = 1, Batch = 16*8, lr = 5e-5, linear schedule
V1 9B	Gemma 2 9B Instruct	fp16/4bit	Batch size = 16*8, lr = 4e-5, linear schedule

Training data is accessible here.

Version 1.0

This is the first version of Bakpia.

✨ Training

• 36K input-output pairs
• 64/128 lora r/alpha
• Rank-stabilized lora

✨ Features

• Single-turn QA across various domains.
• Ngoko Javanese not currently supported.

Generate with template

from transformers import AutoTokenizer, AutoModelForCausalLM, TextStreamer

tokenizer = AutoTokenizer.from_pretrained("afrizalha/Bakpia-V1-1.5B-Javanese")
model = AutoModelForCausalLM.from_pretrained("afrizalha/Bakpia-V1-1.5B-Javanese")
model.to("cuda")

template = """<|im_start|>system
<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant
"""

input = template.format(prompt="Kados pundi kulo saged nyinaoni Basa Jawa kanthi sae?")
input = tokenizer([input], return_tensors = "pt").to("cuda")
outputs = model.generate(**input, max_new_tokens = 1024, streamer= TextStreamer(tokenizer), temperature=.5, use_cache=True, do_sample=True)

Acknowledgments

• Developed by: Afrizal Hasbi Azizy
• License: Apache-2.0