Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

NikolaSigmoid
/
phi-4-1steps

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

Instructions to use NikolaSigmoid/phi-4-1steps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NikolaSigmoid/phi-4-1steps with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("NikolaSigmoid/phi-4-1steps", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • Unsloth Studio new

    How to use NikolaSigmoid/phi-4-1steps 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 NikolaSigmoid/phi-4-1steps 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 NikolaSigmoid/phi-4-1steps to start chatting
    Using HuggingFace Spaces for Unsloth
    # No setup required
    # Open https://huggingface.co/spaces/unsloth/studio in your browser
    # Search for NikolaSigmoid/phi-4-1steps to start chatting
    Load model with FastModel
    pip install unsloth
    from unsloth import FastModel
    model, tokenizer = FastModel.from_pretrained(
        model_name="NikolaSigmoid/phi-4-1steps",
        max_seq_length=2048,
    )
phi-4-1steps
187 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
NikolaSigmoid's picture
NikolaSigmoid
Trained with Unsloth
a19c5bf verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    570 Bytes
    Upload README.md with huggingface_hub about 1 year ago
  • adapter_config.json
    737 Bytes
    Trained with Unsloth about 1 year ago
  • adapter_model.safetensors
    177 MB
    xet
    Trained with Unsloth about 1 year ago
  • merges.txt
    917 kB
    Trained with Unsloth about 1 year ago
  • special_tokens_map.json
    570 Bytes
    Trained with Unsloth about 1 year ago
  • tokenizer.json
    7.15 MB
    Trained with Unsloth about 1 year ago
  • tokenizer_config.json
    18 kB
    Trained with Unsloth about 1 year ago
  • vocab.json
    1.61 MB
    Trained with Unsloth about 1 year ago