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homerquan
/
mn-context-engine-lora-v1

Text Generation
PEFT
Safetensors
gemma4
lora
context-compression
agent-memory
membrane
Model card Files Files and versions
xet
Community

Instructions to use homerquan/mn-context-engine-lora-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use homerquan/mn-context-engine-lora-v1 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E4B")
    model = PeftModel.from_pretrained(base_model, "homerquan/mn-context-engine-lora-v1")
  • Notebooks
  • Google Colab
  • Kaggle
mn-context-engine-lora-v1
140 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
homerquan's picture
homerquan
Publish mn-context-engine-lora-v1 adapter and benchmark card
d75f18e verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 8 days ago
  • README.md
    3.84 kB
    Publish mn-context-engine-lora-v1 adapter and benchmark card 8 days ago
  • adapter_config.json
    1.07 kB
    Publish mn-context-engine-lora-v1 adapter and benchmark card 8 days ago
  • adapter_model.safetensors
    140 MB
    xet
    Publish mn-context-engine-lora-v1 adapter and benchmark card 8 days ago
  • eval_metrics.json
    1.47 kB
    Publish mn-context-engine-lora-v1 adapter and benchmark card 8 days ago