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
File size: 432 Bytes
d139116 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"backend": "tokenizers",
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|eot|>",
"is_local": false,
"local_files_only": true,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 10485760,
"pad_token": "<|finetune_right_pad|>",
"padding_side": "right",
"processor_class": "Llama4Processor",
"tokenizer_class": "TokenizersBackend"
}
|