Geethuzzz/finance-qa-tinyllama-merged
TEXT GENERATIONConcurrent Unit Cost:1Model Size:1.1BQuant:BF16Context Size:2kPublished:Jun 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold
Geethuzzz/finance-qa-tinyllama-merged is a 1.1 billion parameter Llama model developed by Geethuzzz, fine-tuned from unsloth/tinyllama-chat-bnb-4bit. This model is optimized for financial question answering tasks, leveraging efficient training with Unsloth and Huggingface's TRL library. It features a 2048-token context length and is designed for rapid deployment in finance-specific applications.
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Geethuzzz/finance-qa-tinyllama-merged Overview
This model is a 1.1 billion parameter Llama-based language model, developed by Geethuzzz and fine-tuned from unsloth/tinyllama-chat-bnb-4bit. It is specifically designed and optimized for financial question answering (QA) tasks.
Key Capabilities
- Financial QA: Specialized in understanding and generating responses to finance-related queries.
- Efficient Training: Leverages Unsloth and Huggingface's TRL library for accelerated training, resulting in 2x faster fine-tuning.
- Compact Size: With 1.1 billion parameters, it offers a balance between performance and computational efficiency, making it suitable for resource-constrained environments.
- Context Length: Supports a context window of 2048 tokens.
Good For
- Applications requiring a compact and efficient model for financial information retrieval.
- Integrating financial QA capabilities into chatbots or analytical tools.
- Developers looking for a specialized model with faster fine-tuning capabilities for domain-specific tasks.