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Aasher
/
gemma3-4b-marcus-aurelius

Transformers
Safetensors
English
text-generation-inference
unsloth
gemma3
Model card Files Files and versions
xet
Community

Instructions to use Aasher/gemma3-4b-marcus-aurelius with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Aasher/gemma3-4b-marcus-aurelius with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Aasher/gemma3-4b-marcus-aurelius", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use Aasher/gemma3-4b-marcus-aurelius with Unsloth Studio:

    Install Unsloth Studio (macOS, Linux, WSL)
    curl -fsSL https://unsloth.ai/install.sh | sh
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Aasher/gemma3-4b-marcus-aurelius to start chatting
    Install Unsloth Studio (Windows)
    irm https://unsloth.ai/install.ps1 | iex
    # Run unsloth studio
    unsloth studio -H 0.0.0.0 -p 8888
    # Then open http://localhost:8888 in your browser
    # Search for Aasher/gemma3-4b-marcus-aurelius to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for Aasher/gemma3-4b-marcus-aurelius to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="Aasher/gemma3-4b-marcus-aurelius",
        max_seq_length=2048,
    )
gemma3-4b-marcus-aurelius
159 MB
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  • 1 contributor
History: 9 commits
Aasher's picture
Aasher
Delete model.safetensors.index.json
bafc5f9 verified 10 months ago
  • .gitattributes
    1.57 kB
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  • README.md
    601 Bytes
    Unsloth Model Card 10 months ago
  • adapter_config.json
    1.15 kB
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  • adapter_model.safetensors
    119 MB
    xet
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  • added_tokens.json
    35 Bytes
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  • chat_template.jinja
    1.53 kB
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  • generation_config.json
    210 Bytes
    (Trained with Unsloth) 10 months ago
  • preprocessor_config.json
    570 Bytes
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  • processor_config.json
    70 Bytes
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  • special_tokens_map.json
    670 Bytes
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  • tokenizer.json
    33.4 MB
    xet
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  • tokenizer.model
    4.69 MB
    xet
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  • tokenizer_config.json
    1.16 MB
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