Text Generation
PEFT
Safetensors
English
lora
qwen3
dataset-validation
synthetic-data
conversational
Instructions to use khursheed/datacard-ci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use khursheed/datacard-ci 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, "khursheed/datacard-ci") - Notebooks
- Google Colab
- Kaggle
Commit History
28 days ago
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Release v0.4: reviewed CSV checks, Colab quick start and verified test evidence
Verified signatureAdd the offline verifier and input-bound review workflow, installable release files, a CPU quick-start notebook, and Colab test evidence. Rewrite the model card around supported checks and practical usage; preserve the earlier adapter guide. Existing adapter weights are unchanged.5d8be61
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Document CPU-first trials, tested safeguards and remaining production gates
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Add v0.2.1 CPU verification and strict runtime boundaries
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Explain practical use, add inference quickstart and invite workflow feedback
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Back up verified v0.2 release archive
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Add v0.2 claim compiler with frozen corpus and comparative evaluation
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Describe training hardware as Tesla T4 GPU
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Add downloadable backup of the reviewed experimental release
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Add experimental Qwen3 LoRA adapter with held-out evaluation and source
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initial commit
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