Text Generation
PEFT
Safetensors
English
finance
trading
ai-safety
adversarial-testing
critique
lora
qwen2
Instructions to use wmaousley/MiniCrit-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wmaousley/MiniCrit-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "wmaousley/MiniCrit-7B") - Notebooks
- Google Colab
- Kaggle
Commit History
14 days ago
-
Fifth revision: the blind human read
Verified signature635fee0 -
Third and fourth revisions: held-out evaluation and measure 3b
Verified signature767724e
15 days ago
-
Correct all figures against trainer_state.json; restore 364,831 denominator
Verified signaturee3739c5 -
Restore YAML metadata and markdown; correct step figures to trainer-recorded values; add evaluation status
Verified signatureba190eb
24 days ago
-
Correct model card: research-checkpoint status, remove unsupported metrics
Verified signature86ff3b3
-
Upload README.md with huggingface_hub
Verified signature37e5705 -
Upload folder using huggingface_hub
Verified signature695a0c3 -
initial commit
Verified signaturef9adcda