mfaizanhaq/treasurypro-cashflow-llama-merged
TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Mar 24, 2026License:apache-2.0Architecture:Transformer Open Weights Cold
The mfaizanhaq/treasurypro-cashflow-llama-merged is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by mfaizanhaq, with a 32768 token context length. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for applications requiring efficient and performant language understanding and generation, particularly within financial or treasury-related contexts given its name.
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Model Overview
The mfaizanhaq/treasurypro-cashflow-llama-merged is an 8 billion parameter instruction-tuned language model, fine-tuned by mfaizanhaq. It is based on the unsloth/meta-llama-3.1-8b-instruct-unsloth-bnb-4bit model, leveraging the Llama 3.1 architecture.
Key Capabilities
- Efficient Fine-tuning: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Llama 3.1 Foundation: Benefits from the robust capabilities and performance of the Meta Llama 3.1 base model.
- Instruction-Tuned: Optimized for following instructions and generating coherent, relevant responses based on prompts.
Good For
- Applications requiring Llama 3.1 performance: Suitable for tasks where the Llama 3.1 architecture is preferred.
- Efficient deployment: The use of Unsloth for fine-tuning suggests an emphasis on efficiency, potentially leading to a more streamlined model for deployment.
- Financial/Treasury-related tasks: While not explicitly detailed, the model's name "treasurypro-cashflow" implies potential specialization or intended use in financial analysis, cash flow management, or related domains.