Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-qwen3-1.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-qwen3-1.7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-1.7B") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-qwen3-1.7b") - Notebooks
- Google Colab
- Kaggle
Download provenance.json from Loria-MosAIk/xqdt-e2e-qwen3-1.7b: direct link, hf CLI and curl.
- Browser
- Download file 942 Bytes
-
https://huggingface.co/Loria-MosAIk/xqdt-e2e-qwen3-1.7b/resolve/main/provenance.json
- Command line
-
hf download hf://Loria-MosAIk/xqdt-e2e-qwen3-1.7b/provenance.json
-
curl -L -o provenance.json https://huggingface.co/Loria-MosAIk/xqdt-e2e-qwen3-1.7b/resolve/main/provenance.json
942 Bytes
| { | |
| "original_base_model_reference_sha256": "13f09c92452e75d34ea34f530962952def0aaa92386961ac8b98c02f8ea6fb4e", | |
| "original_base_model_reference_was_machine_local": true, | |
| "published_base_model_name_or_path": "Qwen/Qwen3-1.7B", | |
| "schema_version": 1, | |
| "source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_qwen3_1.7e2e/v1-20260214-160705/checkpoint-15345", | |
| "source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4", | |
| "source_files": { | |
| "adapter_config.json": "849bb1b73a499c05752179e2d8d6a9edbb5c7d2e1c79a6757f732bbd5fd02487", | |
| "adapter_model.safetensors": "a6e4e74d75909f722c179ba27aa57ad68af9353ea85b58222bde7606c5b2c98e", | |
| "additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733", | |
| "args.json": "2646c897ae9f05482826ec4fc9e609ab20b6aa8a34f83e469585071d69484c56", | |
| "reference_predictions": "7504136d3afa18b015b837316eecfeaddbda62d3f22789094005bd5ec1240010" | |
| } | |
| } | |