Text Generation
PEFT
Safetensors
English
llama4_text
legal
india
indian-law
adaption
autoscientist
instruction-tuning
lora
legal-research
conversational
4-bit precision
bitsandbytes
Instructions to use itsalloverig/MIKE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use itsalloverig/MIKE with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-4-Scout-17B-16E-Instruct") model = PeftModel.from_pretrained(base_model, "itsalloverig/MIKE") - Notebooks
- Google Colab
- Kaggle
Commit History
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Link selected V4 training dataset
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Document MIKE v4 controlled-fused release and evaluation
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Release MIKE v4 controlled-fused adapter (92.16%)
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Document loadable adapter and public MIKE dataset
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Publish verified Adaption LoRA adapter checkpoint
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Correct MIKE lineage, license, evaluation, and release status
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Update README.md
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initial commit
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