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alifiakania
/
math-scaffolding-middleschool

Text Generation
Transformers
Safetensors
Indonesian
mathematics
education
tutoring
reasoning
problem-solving
scaffolding
indonesian
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use alifiakania/math-scaffolding-middleschool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alifiakania/math-scaffolding-middleschool with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="alifiakania/math-scaffolding-middleschool")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("alifiakania/math-scaffolding-middleschool", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • vLLM

    How to use alifiakania/math-scaffolding-middleschool with vLLM:

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

    How to use alifiakania/math-scaffolding-middleschool with SGLang:

    Install from pip and serve model
    # Install SGLang from pip:
    pip install sglang
    # Start the SGLang server:
    python3 -m sglang.launch_server \
        --model-path "alifiakania/math-scaffolding-middleschool" \
        --host 0.0.0.0 \
        --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "alifiakania/math-scaffolding-middleschool",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
    Use Docker images
    docker run --gpus all \
        --shm-size 32g \
        -p 30000:30000 \
        -v ~/.cache/huggingface:/root/.cache/huggingface \
        --env "HF_TOKEN=<secret>" \
        --ipc=host \
        lmsysorg/sglang:latest \
        python3 -m sglang.launch_server \
            --model-path "alifiakania/math-scaffolding-middleschool" \
            --host 0.0.0.0 \
            --port 30000
    # Call the server using curl (OpenAI-compatible API):
    curl -X POST "http://localhost:30000/v1/completions" \
    	-H "Content-Type: application/json" \
    	--data '{
    		"model": "alifiakania/math-scaffolding-middleschool",
    		"prompt": "Once upon a time,",
    		"max_tokens": 512,
    		"temperature": 0.5
    	}'
  • Docker Model Runner

    How to use alifiakania/math-scaffolding-middleschool with Docker Model Runner:

    docker model run hf.co/alifiakania/math-scaffolding-middleschool
math-scaffolding-middleschool
17.1 GB
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  • 1 contributor
History: 5 commits
alifiakania's picture
alifiakania
menambahkan file test nlp
fe9ac2b 3 months ago
  • DPO
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • SFT
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • .gitattributes
    1.56 kB
    initial commit 3 months ago
  • README.md
    875 Bytes
    update Readme 3 months ago
  • accuracy.ipynb
    20 kB
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • eval-dpo.py
    4.29 kB
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • eval-nlp.ipynb
    6.73 kB
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • merge model sft.ipynb
    5.08 kB
    fix: remove exposed huggingface token 3 months ago
  • test-nlp.json
    564 kB
    xet
    menambahkan file test nlp 3 months ago
  • train dpo.json
    4.15 MB
    xet
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • train sft.json
    3.31 MB
    xet
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • training dpo.ipynb
    21.3 kB
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • training sft.ipynb
    10.4 kB
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • val dpo.json
    491 kB
    xet
    Menambahkan file konfigurasi SFT dan DPO 3 months ago
  • val sft.json
    487 kB
    xet
    Menambahkan file konfigurasi SFT dan DPO 3 months ago