Text Generation
PEFT
Safetensors
English
activation-steering
representation-engineering
affective-computing
research
lora
conversational
Instructions to use CODELOCKHF/CODELOCK-8Bbeta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use CODELOCKHF/CODELOCK-8Bbeta with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "CODELOCKHF/CODELOCK-8Bbeta") - Notebooks
- Google Colab
- Kaggle
Commit History
5 days ago
-
Publish selected CODELOCK LoRA weights and continuous-training records
76d145a
6 days ago
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Release v0.2: multichannel affect engine and calibrated vectors
031e289