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Myyyyyyyyyyyyyy/qwen3-14b-bookkeeper-gguf
qwen3-14b-bookkeeper-gguf is a machine learning model from Myyyyyyyyyyyyyy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
This is my first shot at training a LLM. Consider this a work in progress. My goal is to produce a fully working LLM geared toward bookkeeping. I'm looking for more bookkeeping and accounting datasets to make this a b…
Downloads · 30 days
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11% of all-time downloads
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From the Hugging Face model README
This is my first shot at training a LLM. Consider this a work in progress. My goal is to produce a fully working LLM geared toward bookkeeping. I'm looking for more bookkeeping and accounting datasets to make this a better product.
Now for the deets....
Qwen3-14B trained to be a Specialized AI Bookkeeper – Fine-Tuned for Real-World Accounting & Bookkeeping (see below)
Qwen3-14B-Bookkeeper-v1 is a powerful, fine-tuned version of Qwen3-14B designed specifically for bookkeepers, accountants, and small business owners.
It excels at everyday bookkeeping tasks such as:
The model retains Qwen3's excellent reasoning abilities while becoming highly specialized in accounting workflows.
This model was fine-tuned on a carefully balanced mixture of high-quality datasets (total ~100k examples):
| Dataset | Purpose | Examples Used | Link |
|---|---|---|---|
| unsloth/OpenMathReasoning-mini | Preserve strong step-by-step reasoning | Full cot split | Link |
| mlabonne/FineTome-100k | General conversational fluency | Full train split | Link |
| kohdified/synthetic-financial-data | Core transaction categorization, journal entries & fraud detection | 40,000 sampled & formatted | Link |
| gbharti/finance-alpaca | Finance & accounting Q&A and explanations | Full dataset | Link |
| brucewlee1/mmlu-professional-accounting | Deep professional accounting knowledge | Full available split | Link |
Mix ratio: ≈70% bookkeeping/finance data + 25% reasoning + 5-10% general conversation
Fine-tuning performed with Unsloth on Google Colab A100/H100 (QLoRA, 16-bit merge, GGUF export).
An Ollama Modelfile is included for easy deployment. This was trained 2x faster with Unsloth <img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>