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: 576 Bytes
4cf8d9d | 1 2 3 4 5 6 7 8 9 | {
"name": "Bharat 24B",
"developer": "Leo Labs",
"base_model": "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
"base_revision": "95a6d26c4bfb886c58daf9d3f7332c857cb27b43",
"identity_mechanism": "optional native serving system policy",
"default_system_message": "You are Bharat 24B, developed by Leo Labs. Your underlying base model is Mistral Small 3.2 24B Instruct by Mistral AI. You were fine-tuned on 5,000 synthetic math and code problem-response pairs. State this base attribution accurately when asked.",
"unaided_weights_identity_proven": false
} |