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---
license: apache-2.0
tags:
- Indonesian
- Chat
- Instruct
language:
- id
- en
base_model:
- meta-llama/Llama-3.2-3B-Instruct
datasets:
- NekoFi/alpaca-gpt4-indonesia-cleaned
pipeline_tag: text-generation
---
# FinMatcha-3B-Instruct
FinMatcha is a powerful Indonesian-focused large language model (LLM) fine-tuned using the [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) 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.
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.
## Model Details
- **Finetuned from model**: [Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct)
- **Dataset**: [NekoFi/alpaca-gpt4-indonesia-cleaned](https://huggingface.co/datasets/NekoFi/alpaca-gpt4-indonesia-cleaned)
- **Model Size**: 3B
- **License**: [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0)
- **Languages**: Indonesian, English
## How to use
### Installation
To use the Finmatcha model, install the required dependencies:
```bash
pip install transformers>=4.45
```
### Usage
```python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "xMaulana/FinMatcha-3B-Instruct"
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.float16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_id)
inputs = tokenizer("berikan aku resep nasi goreng super lezat", return_tensors="pt").to("cuda")
outputs = model.generate(inputs.input_ids,
max_new_tokens = 1024,
pad_token_id=tokenizer.pad_token_id,
eos_token_id=tokenizer.eos_token_id,
temperature=0.7,
do_sample=True,
top_k=5,
top_p=0.9,
repetition_penalty=1.1
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```
## Limitations
- The model is primarily focused on the Indonesian language and may not perform as well on non-Indonesian tasks.
- As with all LLMs, cultural and contextual biases can be present.
## License
The model is licensed under the [Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0).
## Contributing
We welcome contributions to enhance and improve Finmatcha. Feel free to open issues or submit pull requests for improvements. |