Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-qwen3-0.6b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-qwen3-0.6b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-0.6B") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-qwen3-0.6b") - Notebooks
- Google Colab
- Kaggle
File size: 944 Bytes
f9d2d8d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"original_base_model_reference_sha256": "12ffc717aa4c8cdf576ffaded950e2756b079fb97d0a27844398fd750b3fe3ea",
"original_base_model_reference_was_machine_local": true,
"published_base_model_name_or_path": "Qwen/Qwen3-0.6B",
"schema_version": 1,
"source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_qwen3_0.6e2e19/v0-20260214-055213/checkpoint-11160",
"source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
"source_files": {
"adapter_config.json": "44c4c0c17b4630038bfe769f2cfbd83a302796f2fb54e0f3bb25c88af199de92",
"adapter_model.safetensors": "72f0946b7709763dce24202f0caf1125c0667d063bd0a469382b7797cac83e9b",
"additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733",
"args.json": "543d3c81b9b50e228d4e8682a9799f3912bcc4cffcfb24c114c732e14e8c64a6",
"reference_predictions": "868b5999342693526122949824db296ecb5a3df0f6fc5ea22bb8698750d8166e"
}
}
|