Instructions to use N-Bot-Int/KrizNore4-E2B-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use N-Bot-Int/KrizNore4-E2B-v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("N-Bot-Int/KrizNore4-E2B-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use N-Bot-Int/KrizNore4-E2B-v1 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 N-Bot-Int/KrizNore4-E2B-v1 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 N-Bot-Int/KrizNore4-E2B-v1 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for N-Bot-Int/KrizNore4-E2B-v1 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="N-Bot-Int/KrizNore4-E2B-v1", max_seq_length=2048, )
metadata
base_model: p-e-w/gemma-4-E2B-it-heretic-ara
tags:
- text-generation-inference
- transformers
- unsloth
- gemma4
- trl
license: agpl-3.0
language:
- en
LORA ADAPTER OF N-Bot-Int/KrizNore4-E2B-v1
(THIS IS ONLY USED FOR FINETUNING, USE mradermacher/KrizNore4-E2B-v1-merged-GGUF FOR THE GGUF!)
- Developed by: N-Bot-Int
- License: agpl-3.0
- Finetuned from model : p-e-w/gemma-4-E2B-it-heretic-ara
This Gemma4 model was trained 2x faster with Unsloth
FEEL FREE TO FINETUNE THE AI MODEL, HOWEVER PLEASE READ THE DISCLAIMER HERE! (LEGACY, ADAPTERS SET AS APACHE2.0)

