LaaP-ai/qwen-base-invoicev1.01-1.5B
LaaP-ai/qwen-base-invoicev1.01-1.5B is a 1.5 billion parameter Qwen2 model developed by LaaP-ai, fine-tuned from unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. With a 32768 token context length, it is optimized for specific tasks related to invoice processing.
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Model Overview
LaaP-ai/qwen-base-invoicev1.01-1.5B is a 1.5 billion parameter Qwen2 model developed by LaaP-ai. It was fine-tuned from the unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit base model, leveraging the Unsloth library for accelerated training, which reportedly made the training process 2x faster, in conjunction with Huggingface's TRL library.
Key Characteristics
- Developer: LaaP-ai
- Base Model: Fine-tuned from
unsloth/qwen2.5-1.5b-instruct-unsloth-bnb-4bit - Training Efficiency: Utilizes Unsloth for 2x faster training.
- License: Released under the Apache-2.0 license.
Potential Use Cases
Given its base model and the specific naming convention, this model is likely specialized for tasks related to invoice processing. Developers might consider using it for:
- Invoice Data Extraction: Identifying and extracting key information from invoices.
- Invoice Classification: Categorizing different types of invoices.
- Automated Invoice Processing: Streamlining workflows involving invoice data.