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speleoalex
/
physisml-en-preview

Text Generation
Safetensors
GGUF
English
physisml
curriculum-learning
continual-learning
catastrophic-forgetting
from-scratch
english
research
experimental
Model card Files Files and versions
xet
Community

Instructions to use speleoalex/physisml-en-preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • llama.cpp

    How to use speleoalex/physisml-en-preview with llama.cpp:

    Install (macOS, Linux)
    curl -LsSf https://llama.app/install.sh | sh
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf speleoalex/physisml-en-preview
    # Run inference directly in the terminal:
    llama cli -hf speleoalex/physisml-en-preview
    Install from WinGet (Windows)
    winget install llama.cpp
    # Start a local OpenAI-compatible server with a web UI:
    llama serve -hf speleoalex/physisml-en-preview
    # Run inference directly in the terminal:
    llama cli -hf speleoalex/physisml-en-preview
    Build from source code
    git clone https://github.com/ggml-org/llama.cpp.git
    cd llama.cpp
    cmake -B build
    cmake --build build -j --target llama-app
    # Start a local OpenAI-compatible server with a web UI:
    ./build/bin/llama serve -hf speleoalex/physisml-en-preview
    # Run inference directly in the terminal:
    ./build/bin/llama cli -hf speleoalex/physisml-en-preview
    Use Docker
    docker model run hf.co/speleoalex/physisml-en-preview
  • Llama new
  • LM Studio
  • Jan
  • vLLM

    How to use speleoalex/physisml-en-preview with vLLM:

    Install from pip and serve model
    # Install vLLM from pip:
    pip install vllm
    # Start the vLLM server:
    vllm serve "speleoalex/physisml-en-preview"
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:8000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "speleoalex/physisml-en-preview",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker
    docker model run hf.co/speleoalex/physisml-en-preview
  • Ollama

    How to use speleoalex/physisml-en-preview with Ollama:

    ollama run hf.co/speleoalex/physisml-en-preview
  • Unsloth Desktop
  • Docker Model Runner

    How to use speleoalex/physisml-en-preview with Docker Model Runner:

    docker model run hf.co/speleoalex/physisml-en-preview
  • Lemonade

    How to use speleoalex/physisml-en-preview with Lemonade:

    Pull the model
    # Download Lemonade from https://lemonade-server.ai/
    lemonade pull speleoalex/physisml-en-preview
    Run and chat with the model
    lemonade run user.physisml-en-preview-{{QUANT_TAG}}
    List all available models
    lemonade list
  • Atomic Chat
physisml-en-preview
176 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
speleoalex's picture
speleoalex
Drop the bytecode a local test run left in the upload folder
04bb187 verified 2 months ago
  • physisml
    Drop the bytecode a local test run left in the upload folder 2 months ago
  • .gitattributes
    1.57 kB
    PhysisML English curriculum 0-5 โ€” first release 2 months ago
  • LICENSE
    1.08 kB
    PhysisML English curriculum 0-5 โ€” first release 2 months ago
  • MANIFEST.json
    525 Bytes
    Route C: second ask-head, regenerated L11/L12 pools, AUC 0.638 -> 0.788 2 months ago
  • Modelfile
    1.52 kB
    PhysisML English curriculum 0-5 โ€” first release 2 months ago
  • README.md
    19.6 kB
    Route C: second ask-head, regenerated L11/L12 pools, AUC 0.638 -> 0.788 2 months ago
  • config.json
    691 Bytes
    Ship a modulator that loads without the repository; config.json carries ask_heads 2 months ago
  • generate.py
    5.9 kB
    PhysisML English curriculum 0-5 โ€” first release 2 months ago
  • model.safetensors
    94.4 MB
    xet
    Route C: second ask-head, regenerated L11/L12 pools, AUC 0.638 -> 0.788 2 months ago
  • physisml.gguf
    81.2 MB
    xet
    Route C: second ask-head, regenerated L11/L12 pools, AUC 0.638 -> 0.788 2 months ago
  • tokenizer.json
    89.9 kB
    Route C: second ask-head, regenerated L11/L12 pools, AUC 0.638 -> 0.788 2 months ago