Text Generation
PEFT
Safetensors
English
lora
data-to-text
text-to-data
factual-consistency
hallucination-detection
Instructions to use Loria-MosAIk/xqdt-e2e-llama3.2-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Loria-MosAIk/xqdt-e2e-llama3.2-1b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "Loria-MosAIk/xqdt-e2e-llama3.2-1b") - Notebooks
- Google Colab
- Kaggle
File size: 961 Bytes
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"original_base_model_reference_was_machine_local": true,
"published_base_model_name_or_path": "meta-llama/Llama-3.2-1B-Instruct",
"schema_version": 1,
"source_checkpoint_relative_path": "checkpoints/checkpoints_e2e19/output_llama3_1b_e2e19/v0-20260214-154428/checkpoint-9765",
"source_commit": "739c84d868f9d32bcf5c150bdf05c56260cfcaf4",
"source_files": {
"adapter_config.json": "d104d7a723b0ee00497e8702b03ff2fd9d91b4619f4887c519de9b5c94f5bde7",
"adapter_model.safetensors": "84c6c0cd5a9792760e92b364428e938c38f38845063ef740eaec764b24ee3074",
"additional_config.json": "c7799462ebedae6557ffad31566029e2d2f958b7b40e46e972cf901bcaf45733",
"args.json": "1398c0b034d1ebcbef5cbd49b60d81eb6e454a50a993bc783b07b6e6af0f0fb4",
"reference_predictions": "ab9290e5ec68c1d8fa1d4aab402abd0c973abc5a266906a8f440b9b0b9361437"
}
}
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