51 lines
1.9 KiB
Markdown
51 lines
1.9 KiB
Markdown
---
|
|
license: apache-2.0
|
|
base_model: Qwen/Qwen2.5-3B
|
|
tags:
|
|
- legal
|
|
- legal-tech
|
|
- legal-clause-analysis
|
|
- lora
|
|
pipeline_tag: text-generation
|
|
language:
|
|
- en
|
|
---
|
|
|
|
# qwen2.5-3b-legal-merged
|
|
|
|
This repository contains a fine-tuned, merged version of the **Qwen2.5-3B** architecture, specifically optimized for legal domain text processing, contract deconstruction, and plain-English summary generation.
|
|
|
|
The model consists of the base architecture integrated with custom LoRA adapters trained on a curated dataset of legal clauses, terms of service agreements, and privacy policies.
|
|
|
|
## Model Description
|
|
|
|
- **Developed by:** Ayush Ghatak
|
|
- **Model Type:** Large Language Model (Causal LM)
|
|
- **Base Model:** Qwen/Qwen2.5-3B
|
|
- **Language(s):** English (Legal domain specialist)
|
|
- **License:** Apache-2.0
|
|
- **Fine-Tuning Method:** LoRA (Low-Rank Adaptation) merged directly into FP16 half-precision weights.
|
|
|
|
### Primary Use Cases
|
|
This model was designed and optimized to perform structured legal clause analysis split into twin streaming views:
|
|
1. **Plain-English Summarization:** Condensing complex boilerplate legalese into highly scannable, high-quality bullet points.
|
|
2. **Meta-Cognitive Reasoning:** Exposing an algorithmic, step-by-step cognitive roadmap identifying document type, legal parties, translating specific terms, and tracing logical breakdown.
|
|
|
|
---
|
|
|
|
## Intended Changes & Operational Triggers
|
|
|
|
For best performance in legal clause deconstruction tasks, prompt the model using structured phases. It has been trained to specifically respond to structural tags like `<Reasoning>:` and `<Summary>:` to allow clean UI-layer splitting:
|
|
|
|
### Expected Prompt/Response Layout
|
|
```text
|
|
[Input Text Block]
|
|
|
|
<Reasoning>:
|
|
1. IDENTIFY: [Document type and core legal purpose]
|
|
2. TRANSLATE: [Extraction and definition of domain-specific legal vocabulary]
|
|
3. COGNITIVE TRACE: [Step-by-step logic map of obligations and conditions]
|
|
|
|
<Summary>:
|
|
- [Core takeaway 1]
|
|
- [Core takeaway 2] |