machinelearningmo/headroom-extractor-v5-bf16-42d582a35d2f
The machinelearningmo/headroom-extractor-v5-bf16-42d582a35d2f is a 4-billion parameter model specifically designed for extracting typed payment rules from text. It is a higher-precision bfloat16 export of a trained adapter, merged into a base model, and was developed by machinelearningmo. This model is fine-tuned using QLoRA on 336 developer-reviewed public synthetic clause pairs, making it specialized for identifying payment-related clauses in documents. Its primary use case is to propose payment rules, requiring source validation and owner review for accuracy.
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Headroom V5 Payment-Clause Extractor: BF16 Materialization
This model, developed by machinelearningmo, is a specialized 4-billion parameter extractor focused on identifying and proposing typed payment rules from textual data. It represents a higher-precision bfloat16 export of a trained adapter, which was merged into a pinned base model. The development of this specific variant was driven by an observed regression in a previous 4-bit merged export, aiming to repair merge rounding issues.
Key Capabilities
- Payment Rule Extraction: Specifically designed to identify and propose typed payment rules from text.
- High Precision: Utilizes bfloat16 materialization for improved numerical precision compared to a prior 4-bit export.
- Specialized Training: Fine-tuned using rank-8/alpha-16 QLoRA on a 4-bit base, leveraging 336 developer-reviewed public synthetic clause pairs.
- Development-Driven Improvement: This version is an export repair addressing issues found in earlier materializations.
Good For
- Automated Clause Identification: Ideal for preliminary identification of payment-related clauses in documents.
- Legal and Financial Text Analysis: Useful in contexts where extracting specific payment terms (e.g., invoice eligibility, due dates) is required.
- Development and Evaluation: Serves as a development-driven export for further evaluation and comparison against other versions. Users should consult Headroom's current results for detailed performance metrics.
Important Note: Outputs from this model propose payment rules and require mandatory source validation and owner review. It does not calculate balances, authorize payments, or process private financial data; training was conducted exclusively on approved fictional clauses.