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 evaluation-results.json from DesaiJayM/Bharat-24B-Math-Code: direct link, hf CLI and curl.
- Browser
- Download file 1.25 kB
-
https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/evaluation-results.json
- Command line
-
hf download hf://DesaiJayM/Bharat-24B-Math-Code/evaluation-results.json
-
curl -L -o evaluation-results.json https://huggingface.co/DesaiJayM/Bharat-24B-Math-Code/resolve/main/evaluation-results.json
1.25 kB
| { | |
| "model": "Bharat 24B by Leo Labs", | |
| "evaluation_date": "2026-10-12", | |
| "completed_run_cases": 222, | |
| "reported_scope": "Math and code results only", | |
| "reported_unique_cases": 192, | |
| "math": { | |
| "dataset": "GSM8K fixed128-case subset", | |
| "correct_numeric_final_answer": 123, | |
| "cases": 128, | |
| "accuracy_percent": 96.09375, | |
| "checker": "MathVerify0.9.0 numeric/symbolic final-answer match", | |
| "secondary_analysis": true, | |
| "registered_strict_format_correct": 111, | |
| "registered_strict_format_accuracy_percent": 86.71875, | |
| "token_limit_cases": 6 | |
| }, | |
| "code": { | |
| "dataset": "Original HumanEval fixed64-case subset", | |
| "correct": 51, | |
| "cases": 64, | |
| "pass_at_1_percent": 79.6875, | |
| "attempts_per_case": 1, | |
| "greedy_decoding": true, | |
| "token_limit_cases": 0 | |
| }, | |
| "inference": "Original NF4 backbone plus saved checkpoint625 adapter; native prompts and greedy decoding", | |
| "math_code_evaluation_wall_time_cuts": 0, | |
| "training_overlap_normalized_exact_questions": 0, | |
| "scope_note": "Fixed subsets, not full benchmark or leaderboard results. Math format-tolerant scoring was selected after an earlier format artifact and declared before the remaining100 responses were generated." | |
| } |