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jpcurada
/
likas-gemma4-e2b-lora

Text Generation
PEFT
Safetensors
GGUF
English
Tagalog
gemma
gemma-4
lora
sft
tool-use
function-calling
on-device
disaster-response
philippines
filipino
tagalog
taglish
unsloth
conversational
Model card Files Files and versions
xet
Community

Instructions to use jpcurada/likas-gemma4-e2b-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use jpcurada/likas-gemma4-e2b-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("/kaggle/input/models/google/gemma-4/transformers/gemma-4-e2b-it/1")
    model = PeftModel.from_pretrained(base_model, "jpcurada/likas-gemma4-e2b-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
likas-gemma4-e2b-lora
281 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
jpcurada's picture
jpcurada
Upload README.md with huggingface_hub
8904a42 verified 5 months ago
  • .gitattributes
    1.57 kB
    Upload model trained with Unsloth 5 months ago
  • README.md
    12 kB
    Upload README.md with huggingface_hub 5 months ago
  • adapter_config.json
    1.25 kB
    Upload model trained with Unsloth 5 months ago
  • adapter_model.safetensors
    248 MB
    xet
    Upload model trained with Unsloth 5 months ago
  • chat_template.jinja
    2.38 kB
    Upload model trained with Unsloth 5 months ago
  • processor_config.json
    1.69 kB
    Upload model trained with Unsloth 5 months ago
  • tokenizer.json
    32.2 MB
    xet
    Upload model trained with Unsloth 5 months ago
  • tokenizer_config.json
    6.86 kB
    Upload model trained with Unsloth 5 months ago