Instructions to use nocodemeeraai/nocodemait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use nocodemeeraai/nocodemait 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 nocodemeeraai/nocodemait 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 nocodemeeraai/nocodemait to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for nocodemeeraai/nocodemait to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="nocodemeeraai/nocodemait", max_seq_length=2048, )
NoCodeMait - Flutter Code Generator π
A fine-tuned LLaMA 3 8B model trained on real Flutter apps. Built by MeeraAI
What it does
Give it an instruction β it writes Flutter code!
Example
Input: Create a Flutter login screen
Output: Complete Flutter Dart code
Training
- Base model: LLaMA 3 8B
- Framework: Unsloth + LoRA
Usage
from unsloth import FastLanguageModel
model, tokenizer = FastLanguageModel.from_pretrained( model_name = "nocodemeeraai/nocodemait", max_seq_length = 2048, load_in_4bit = True, )
Made by
Meera AI β meeraaitech.com
Model tree for nocodemeeraai/nocodemait
Base model
meta-llama/Meta-Llama-3-8B Quantized
unsloth/llama-3-8b-bnb-4bit