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homerquan
/
mn-context-engine-lora-v2

Text Generation
PEFT
Safetensors
smollm3
lora
context-compression
agent-memory
membrane
conversational
Model card Files Files and versions
xet
Community

Instructions to use homerquan/mn-context-engine-lora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use homerquan/mn-context-engine-lora-v2 with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("HuggingFaceTB/SmolLM3-3B")
    model = PeftModel.from_pretrained(base_model, "homerquan/mn-context-engine-lora-v2")
  • Notebooks
  • Google Colab
  • Kaggle
mn-context-engine-lora-v2 / benchmark
2.69 MB
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  • 1 contributor
History: 1 commit
homerquan's picture
homerquan
Publish SmolLM3 context engine LoRA v2
fbdb425 verified 9 days ago
  • llmlingua_packet_parity_smollm3_compare.json
    901 kB
    Publish SmolLM3 context engine LoRA v2 9 days ago
  • smollm3_hybrid_eval.json
    833 kB
    Publish SmolLM3 context engine LoRA v2 9 days ago
  • smollm3_llm_only_eval.json
    961 kB
    Publish SmolLM3 context engine LoRA v2 9 days ago