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
File size: 496 Bytes
4cf8d9d | 1 2 3 4 5 6 7 8 9 | 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.
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