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DGXAI
/
gemma-3n-e2b-driftcall-lora

Text Generation
PEFT
Safetensors
lora
rl
grpo
openenv
voice
indic
hindi
tamil
kannada
hinglish
schema-drift
gemma-3n
tool-use
conversational
Model card Files Files and versions
xet
Community

Instructions to use DGXAI/gemma-3n-e2b-driftcall-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use DGXAI/gemma-3n-e2b-driftcall-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3n-E2B-it")
    model = PeftModel.from_pretrained(base_model, "DGXAI/gemma-3n-e2b-driftcall-lora")
  • Notebooks
  • Google Colab
  • Kaggle
gemma-3n-e2b-driftcall-lora
123 MB
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  • 1 contributor
History: 5 commits
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saumilyajj
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  • .gitattributes
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  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    84.6 MB
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  • chat_template.jinja
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  • driftcall_meta.json
    169 Bytes
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  • metrics.csv
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  • processor_config.json
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  • thumbnail.png
    581 kB
    xet
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.7 MB
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  • tokenizer_config.json
    945 Bytes
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