Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-gemma3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-gemma3-4b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-3-4b-it") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-gemma3-4b") - Notebooks
- Google Colab
- Kaggle
File size: 949 Bytes
f94cee6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"original_base_model_reference_sha256": "f86883a98bbc65b60c2e2f8659ceb082787492caa846bfc930d8bc798b2f0bbf",
"original_base_model_reference_was_machine_local": true,
"published_base_model_name_or_path": "google/gemma-3-4b-it",
"schema_version": 1,
"source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_gemma3_4b_e2e19/v0-20260215-222239/checkpoint-6975",
"source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
"source_files": {
"adapter_config.json": "15370905d97b26cc099b3733a8a1fbd7c00078357eb275cd5aeb0404cc3da037",
"adapter_model.safetensors": "410f60027bb0884923650616b40eeeca780063887717817e8444f91e218775b8",
"additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733",
"args.json": "f017bae22f7b4bc446dfe1afdf769656df7cb823b3e1ad386e6230c1f5f5f601",
"reference_predictions": "51b9c4e077f7495ca02acbeca9d5798bdbee1ea498c9ec60bf13fd98c08886e0"
}
}
|