Instructions to use lironui/UK_Visa_Assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use lironui/UK_Visa_Assistant with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/mistral-7b-instruct-v0.3") model = PeftModel.from_pretrained(base_model, "lironui/UK_Visa_Assistant") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use lironui/UK_Visa_Assistant with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lironui/UK_Visa_Assistant to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for lironui/UK_Visa_Assistant to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for lironui/UK_Visa_Assistant to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="lironui/UK_Visa_Assistant", max_seq_length=2048, )
ποΈ UK Visa Assistant - Fine-tuned Mistral-7B Instruct
This is a fine-tuned version of the Mistral 7B Instruct model, specifically tailored for answering questions and assisting with processes related to UK visas, immigration categories, documentation requirements, and official guidance.
π§ Model Summary
- Base model:
Mistral-7B-Instruct-v0.3 - Fine-tuning method: LoRA
- Domain: UK visa & immigration policy
- Intended use: Assisting users, lawyers, and support agents in navigating UK visa rules and processes
- Trained with: A curated corpus of UK visa documentation, official Home Office guidance, and common user queries
π Use Cases
- Answering questions like:
- "What are the requirements for a Skilled Worker visa?"
- "Can I switch from a Student Visa to a Start-up Visa in the UK?"
- "What documents do I need for a spouse visa?"
- Assisting in form-filling guidance
- Clarifying rule changes or processing times
π How to Use
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("lironui/UK_Visa_Assistant")
tokenizer = AutoTokenizer.from_pretrained("lironui/UK_Visa_Assistant")
prompt = "What are the English language requirements for a UK Skilled Worker visa?"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=1024)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
π Note: For best results, format prompts using Mistral's instruct style (e.g.,
<s>[INST] your question [/INST])
π Dataset
The model was trained on a custom dataset containing:
- Home Office visa guidance PDFs
- Official UK government immigration website content
- Annotated user questions and responses from visa forums (anonymized)
- Policy update logs from gov.uk
β οΈ Limitations
- May not reflect very recent policy updates (check gov.uk for latest info)
- Should not be relied on for legal advice
- Performance on non-UK immigration topics is untested
π License
cc-by-nc-4.0
π€ Citation
If you use this model, please consider citing it:
@misc{ukvisa-mistral2025,
author = {Rui Li},
title = {UK Visa Assistant - Fine-tuned Mistral 7B Instruct},
year = 2025,
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/lironui/UK_Visa_Assistant}}
}
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Model tree for lironui/UK_Visa_Assistant
Base model
mistralai/Mistral-7B-v0.3