release-manifest.json

{
  "name": "Bharat 24B",
  "developer": "Leo Labs",
  "artifact_type": "LoRA adapter",
  "base_model": "mistralai/Mistral-Small-3.2-24B-Instruct-2506",
  "base_revision": "95a6d26c4bfb886c58daf9d3f7332c857cb27b43",
  "checkpoint_step": 625,
  "training_responses": 5000,
  "math_training_responses": 2500,
  "code_training_responses": 2500,
  "training_method": "QLoRA supervised fine-tuning on complete synthetic responses",
  "unchanged_checkpoint_files_sha256": {
    "adapter_model.safetensors": "ebe658e355a537288337081be1a90b2cba88833b00fff8c17d4a88ee7fbce096",
    "adapter_config.json": "b7136d86f9177990caad64dfb7d0f0b83de48837341ebea7d5f805e3c7bb505c",
    "tekken.json": "6e2501687ccd0e1f30f36319eaf2b46958b897811e246cd8eb5d385b9e3de7d1"
  },
  "license": "Apache-2.0",
  "release_repo": "DesaiJayM/Bharat-24B-Math-Code",
  "weights_and_native_tokenizer_unchanged": true
}