martain7r/ finance-llama-8b:q4_k_m

6,073 1 year ago

Finance-Llama-8B is a fine-tuned Llama 3.1 8B model trained on 500k examples for tasks like QA, reasoning, sentiment, and NER. It supports multi-turn dialogue and is ideal for financial assistants. 

ollama run martain7r/finance-llama-8b:q4_k_m

Details

1 year ago

25fabdc1e7a3 · 4.9GB ·

model
llama
·
8.03B
·
Q4_K_M
template
{{ if .System }}{{ .System }}{{ end }}User: {{ .Prompt }} Assistant:
system
You are FinanceBot, an expert financial advisor and conversational AI assistant. Your core capabilit
params
{ "num_ctx": 4096, "num_predict": 8192, "repeat_penalty": 1.1, "stop": [ "Us

Readme

Model Card for Finance-Llama-8B

🔗 Model Link: https://huggingface.co/tarun7r/Finance-Llama-8B

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B on the Josephgflowers/Finance-Instruct-500k dataset. It’s designed for financial tasks, reasoning, and multi-turn conversations.

Key Features

  • Extensive Coverage: Trained on over 500,000 entries spanning financial QA, reasoning, sentiment analysis, topic classification, multilingual NER, and conversational AI.📚
  • Multi-Turn Conversations: Capable of rich dialogues emphasizing contextual understanding and reasoning.
  • Diverse Data Sources: Includes entries from Cinder, Sujet-Finance-Instruct-177k, Phinance Dataset, BAAI/IndustryInstruction_Finance-Economics, Josephgflowers/Financial-NER-NLP, and many other high-quality datasets.
  • Financial Specialization: Tailored for financial reasoning, question answering, entity recognition, sentiment analysis, and more.

Dataset Details 💾

Finance-Instruct-500k Dataset

Overview Finance-Instruct-500k is a comprehensive and meticulously curated dataset designed to train advanced language models for financial tasks, reasoning, and multi-turn conversations. Combining data from numerous high-quality financial datasets, this corpus provides over 500,000 entries, offering unparalleled depth and versatility for finance-related instruction tuning and fine-tuning.

The dataset includes content tailored for financial reasoning, question answering, entity recognition, sentiment analysis, address parsing, and multilingual natural language processing (NLP). Its diverse and deduplicated entries make it suitable for a wide range of financial AI applications, including domain-specific assistants, conversational agents, and information extraction systems.

Key Features of the Dataset

  • Extensive Coverage: Over 500,000 entries spanning financial QA, reasoning, sentiment analysis, topic classification, multilingual NER, and conversational AI.🌍

  • Multi-Turn Conversations: Rich dialogues emphasizing contextual understanding & reasoning.🗣️

  • Diverse Data Sources: Includes entries from Cinder, Sujet-Finance-Instruct-177k, Phinance Dataset, BAAI/IndustryInstruction_Finance-Economics, Josephgflowers/Financial-NER-NLP, and many other high-quality datasets. 📖

Citation 📌
@misc{tarun7r/Finance-Llama-8B,
  author    = {[tarun7r]},
  title     = {tarun7r/Finance-Llama-8B: A Llama 3.1 8B Model Fine-tuned on Josephgflowers/Finance-Instruct-500k},
  year      = {2025},
  publisher = {Hugging Face},
  journal   = {Hugging Face Model Hub},
  howpublished = {\url{https://huggingface.co/tarun7r/Finance-Llama-8B}}
}