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README.md
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---
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license:
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tags:
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- Indonesian
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- Chat
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---
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license: apache-2.0
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tags:
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- Indonesian
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- Chat
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# Finmatcha-3B
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Finmatcha is a powerful Indonesian-focused large language model (LLM) fine-tuned using the Llama 3.2B base model. The model has been trained to handle a variety of natural language processing tasks such as text generation, summarization, translation, and question-answering, with a special emphasis on understanding and generating Indonesian text.
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This model has been fine-tuned on a wide array of Indonesian datasets, making it adept at handling the nuances of the Indonesian language, from formal to colloquial speech. It also supports English for bilingual applications.
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## Model Details
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- **Finetuned from model**: [Llama3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
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- **Dataset**: [NekoFi/alpaca-gpt4-indonesia-cleaned](https://huggingface.co/datasets/NekoFi/alpaca-gpt4-indonesia-cleaned)
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- **Model Size**: 3B
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- **License**: [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)
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- **Languages**: Indonesian, English
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## How to use
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### Installation
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To use the Finmatcha model, install the required dependencies:
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```bash
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pip install transformers>=4.45
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```
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### Usage
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```python
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_id = "xMaulana/FinMatcha-3B-Instruct"
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model = AutoModelForCausalLM.from_pretrained(
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model_id,
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torch_dtype=torch.float16,
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device_map="auto"
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)
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tokenizer = AutoTokenizer.from_pretrained(model_id)
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inputs = tokenizer("berikan aku resep nasi goreng super lezat", return_tensors="pt").to("cuda")
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outputs = model.generate(inputs.input_ids,
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max_new_tokens = 1024,
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pad_token_id=tokenizer.pad_token_id,
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eos_token_id=tokenizer.eos_token_id,
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temperature=0.7,
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do_sample=True,
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top_k=5,
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top_p=0.9,
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repetition_penalty=1.1
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)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## Limitations
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- The model is primarily focused on the Indonesian language and may not perform as well on non-Indonesian tasks.
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- As with all LLMs, cultural and contextual biases can be present.
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## License
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The model is licensed under the [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0).
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## Contributing
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We welcome contributions to enhance and improve Finmatcha. Feel free to open issues or submit pull requests for improvements.
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