metadata

language:
  - jv
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - unsloth
  - qwen2
  - trl
  - sft

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
V1 0.5B	Qwen 2 0.5B Instruct	fp16
V1 1.5B	Qwen 2 1.5B Instruct	fp16
V1 9B	Gemma 2 9B Instruct	fp16/4bit

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.

Use

from transformers import AutoTokenizer, AutoModelForCausalLM

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

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, temperature=.5, use_cache=False, do_sample=True)
print(tokenizer.batch_decode(outputs)[0])

Acknowledgments

Developed by: Afrizal Hasbi Azizy
License: apache-2.0