Instructions to use Shravani-Limited/Zenith-Expert-9B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shravani-Limited/Zenith-Expert-9B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("huihui-ai/Huihui-Qwen3.5-9B-abliterated") model = PeftModel.from_pretrained(base_model, "Shravani-Limited/Zenith-Expert-9B") - Notebooks
- Google Colab
- Kaggle
| license: other | |
| language: | |
| - en | |
| library_name: peft | |
| base_model: huihui-ai/Huihui-Qwen3.5-9B-abliterated | |
| tags: | |
| - legal | |
| - uk-law | |
| - qwen | |
| - abliterated | |
| - lora | |
| - adapter | |
| datasets: | |
| - Shravani-Limited/compliance-expert-30k | |
| model_name: Zenith Expert 9B (Adapter) | |
| # Zenith Expert 9B (LoRA Adapter) | |
| Zenith Expert 9B is a specialized LoRA adapter designed for UK legal compliance and regulatory reasoning. It is part of the **Shravani-Limited** suite of legal AI models. | |
| ## ๐๏ธ Live Demo | |
| You can test this model in a real-world legal application here: [aegislegal.ai](https://aegislegal.ai/) | |
| ## ๐๏ธ Model Details | |
| - **Type**: PEFT / LoRA Adapter | |
| - **Base Model**: [Huihui-Qwen3.5-9B-abliterated](https://huggingface.co/huihui-ai/Huihui-Qwen3.5-9B-abliterated) | |
| - **Weight Size**: **223 MB** | |
| - **Training Data**: Fine-tuned on **30,000+ custom legal compliance scenarios** (compliance_expert_30k.jsonl). | |
| ## ๐ Capabilities | |
| - Detailed compliance auditing and risk assessment. | |
| - Drafting of regulatory-aligned documentation. | |
| - Nuanced reasoning over UK administrative law. | |
| ## ๐ ๏ธ Loading Instructions | |
| You can load this adapter using the `peft` library on top of the base Qwen model: | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| from peft import PeftModel | |
| base_model = "huihui-ai/Huihui-Qwen3.5-9B-abliterated" | |
| adapter_id = "Shravani-Limited/Zenith-Expert-9B" | |
| model = AutoModelForCausalLM.from_pretrained(base_model) | |
| model = PeftModel.from_pretrained(model, adapter_id) | |
| ``` | |
| ## โ๏ธ License | |
| Released under the **Open Government Licence v3.0**. | |