Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-qwen3-8b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-qwen3-8b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-qwen3-8b") - Notebooks
- Google Colab
- Kaggle
File size: 939 Bytes
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"original_base_model_reference_was_machine_local": true,
"published_base_model_name_or_path": "Qwen/Qwen3-8B",
"schema_version": 1,
"source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_qwen3_8b_e2e/v0-20260216-045117/checkpoint-8680",
"source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
"source_files": {
"adapter_config.json": "fecdcae3d76e1d9582d2702cf9d21b013cc19f739621ac252a3b383304ee767c",
"adapter_model.safetensors": "7dccfd50bf7099fb3e4514896dfefb7f5fba8d89b3f18665dda0318366771531",
"additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733",
"args.json": "59c4bf0e159c0f722b9b2c345d9a36d122fd04cbf9d4e2b095bb7b647029ddc6",
"reference_predictions": "23bd63fb568a264151653589fc12c5a72c108a844a7c6bef25a7d866e4f87e86"
}
}
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