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CODELOCKHF
/
CODELOCK-8Bbeta

Text Generation
PEFT
Safetensors
English
activation-steering
representation-engineering
affective-computing
research
lora
conversational
Model card Files Files and versions
xet
Community

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
CODELOCK-8Bbeta / data
891 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
CODELOCKHF's picture
CODELOCKHF
Publish selected CODELOCK LoRA weights and continuous-training records
76d145a 5 days ago
  • adapter-supervised.jsonl
    592 kB
    Publish selected CODELOCK LoRA weights and continuous-training records 5 days ago
  • affect_pairs.jsonl
    291 kB
    Release v0.2: multichannel affect engine and calibrated vectors 6 days ago
  • affect_pairs.manifest.json
    444 Bytes
    Release v0.2: multichannel affect engine and calibrated vectors 6 days ago
  • contrastive_pairs.jsonl
    8.36 kB
    Release v0.2: multichannel affect engine and calibrated vectors 6 days ago