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--- |
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license: llama3 |
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datasets: |
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- taddeusb90/finbro-v0.1.0 |
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language: |
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- en |
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library_name: transformers |
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tags: |
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- finance |
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--- |
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Fibro v0.1.0 Llama 3 8B Model with 1Million token context window |
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====================== |
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Model Description |
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The Fibro Llama 3 8B model is language model optimized for financial applications. This model aims to enhance financial analysis, automate data extraction, and improve financial literacy across various user expertise levels. It utilizes a massive 1 million token context window. |
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This is just a sneak peek into what's coming, and future releases will be done periodically consistently improving it's performance. |
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Training: |
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----------------- |
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The model is still training, I will be sharing new incremental releases while it's improving so you have time to play around with it. |
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What's Next? |
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* **Extended Capability:** Continue training on the 8B model as it hasn't converged yet as I only scratched the surface here and transitioning to scale up with a 70B model for deeper insights and broader financial applications. |
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* **Dataset Expansion:** Continuous enhancement by integrating more diverse and comprehensive real and synthetic financial data. |
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* **Advanced Financial Analysis:** Future versions will support complex financial decision-making processes by interpreting and analyzing financial data within agentive workflows. |
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* **Incremental Improvements:** Regular updates are made to increase the model's efficiency and accuracy and extend it's capabilities in financial tasks. |
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Model Applications |
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* **Information Extraction:** Automates the process of extracting valuable data from unstructured financial documents. |
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* **Financial Literacy:** Provides explanations of financial documents at various levels, making financial knowledge more accessible. |
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How to Use |
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Here is how to load and use the model in your Python projects: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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text = "Your financial query here" |
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inputs = tokenizer(text, return_tensors="pt") |
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outputs = model.generate(inputs['input_ids']) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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Training Data |
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The Fibro Llama 3 8B model was trained on the Finbro Dataset, an extensive compilation of over 300,000 entries sourced from Investopedia and Sujet Finance. This dataset includes structured Q&A pairs, financial reports, and a variety of financial tasks pooled from multiple datasets. |
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The dataset can be found [here](https://huggingface.co/datasets/taddeusb90/finbro-v0.1.0) |
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This dataset will be extended to contain real and synthetic data on a wide range of financial tasks such as: |
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- Investment valuation |
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- Value investing |
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- Security analysis |
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- Derivatives |
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- Asset and portfolio management |
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- Financial information extraction |
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- Quantitative finance |
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- Econometrics |
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- Applied computer science in finance |
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and much more |
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Notice |
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-------- |
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You are advised to implement your own alignment layer and guard rails before exposing the model as a service or using it in production. Please exercise caution and use it at your own risk. I assume no responsibility for any losses incurred if used. |
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Licensing |
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This model is released under the [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct/blob/main/LICENSE). |
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Citation |
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-------- |
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If you use this model in your research, please cite it as follows: |
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```bibtex |
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@misc{ |
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finbro_v0.1.0-llama-3-8B-1m, |
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author = {Taddeus Buica}, |
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title = {Fibro Llama 3 8B Model for Financial Analysis}, |
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year = {2024}, |
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journal = {Hugging Face repository}, |
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howpublished = {\url{https://huggingface.co/taddeusb90/finbro-v0.1.0-llama-3-8B-instruct-1m}} |
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} |
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``` |
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Special thanks to the folks from AI@Meta for powering this project with their awesome models. |
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Contact |
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-------- |
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If you would like to connect, share ideas, feedback, help support bigger models or even develop your own custom finance model on your private dataset let's talk on [LinkedIn](https://www.linkedin.com/in/taddeus-buica-1009a965/) |
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References |
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-------- |
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[[1](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)] Llama 3 Model Card by AI@Meta, Year: 2024 |
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[[2](https://huggingface.co/datasets/sujet-ai/Sujet-Finance-Instruct-177k)] Sujet Finance Dataset |
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[[3](https://huggingface.co/datasets/FinLang/investopedia-instruction-tuning-dataset)] Dataset Card for investopedia-instruction-tuning |
