Instructions to use DesaiJayM/Bharat-24B-Math-Code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DesaiJayM/Bharat-24B-Math-Code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Small-3.2-24B-Instruct-2506") model = PeftModel.from_pretrained(base_model, "DesaiJayM/Bharat-24B-Math-Code") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from DesaiJayM/Bharat-24B-Math-Code: direct link, hf CLI and curl.
- Browser
- Download file 496 Bytes
-
https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/NOTICE
- Command line
-
hf download hf://DesaiJayM/Bharat-24B-Math-Code/NOTICE
-
curl -L -o NOTICE https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/NOTICE
496 Bytes
| Bharat24B by Leo Labs | |
| Copyright2026 Leo Labs for the adaptation and original release helper code. | |
| Base: Mistral Small3.224B Instruct by Mistral AI, Apache License2.0. | |
| Base weights are obtained separately from the upstream repository. | |
| Changes: text attention/MLP LoRA adapters trained on5,000 synthetic math/code responses; optional Bharat serving identity policy; release metadata and inference helper. | |
| Question source attribution and modifications are provided in DATA_ATTRIBUTION.md. | |