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
metadata
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.
ποΈ Live Demo
You can test this model in a real-world legal application here: aegislegal.ai
ποΈ Model Details
- Type: PEFT / LoRA Adapter
- Base Model: Huihui-Qwen3.5-9B-abliterated
- Weight Size: 223 MB
- Training Data: Fine-tuned on 30,000+ custom legal compliance scenarios (compliance_expert_30k.jsonl).
π Capabilities
- Detailed compliance auditing and risk assessment.
- Drafting of regulatory-aligned documentation.
- Nuanced reasoning over UK administrative law.
π οΈ Loading Instructions
You can load this adapter using the peft library on top of the base Qwen model:
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)
βοΈ License
Released under the Open Government Licence v3.0.