Text Generation
Safetensors
GGUF
Italian
physisml
curriculum-learning
from-scratch
italian
research
experimental
Instructions to use speleoalex/physisml-it-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-it-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-it-preview # Run inference directly in the terminal: llama cli -hf speleoalex/physisml-it-preview
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf speleoalex/physisml-it-preview # Run inference directly in the terminal: llama cli -hf speleoalex/physisml-it-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-it-preview # Run inference directly in the terminal: ./build/bin/llama cli -hf speleoalex/physisml-it-preview
Use Docker
docker model run hf.co/speleoalex/physisml-it-preview
- Llama new
- LM Studio
- Jan
- vLLM
How to use speleoalex/physisml-it-preview with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "speleoalex/physisml-it-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-it-preview", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/speleoalex/physisml-it-preview
- Ollama
How to use speleoalex/physisml-it-preview with Ollama:
ollama run hf.co/speleoalex/physisml-it-preview
- Unsloth Desktop
- Docker Model Runner
How to use speleoalex/physisml-it-preview with Docker Model Runner:
docker model run hf.co/speleoalex/physisml-it-preview
- Lemonade
How to use speleoalex/physisml-it-preview with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull speleoalex/physisml-it-preview
Run and chat with the model
lemonade run user.physisml-it-preview-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Commit History
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Ship the missing generation module and drop the stale bytecode
Verified signaturegenerate.py imported physisml.generation, which was never uploaded: every download failed with ModuleNotFoundError. The file is byte-identical to the one already published in physisml-en-preview. The six __pycache__ entries were build residue and are removed.fc21794
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exp_i paragraph: compute-match caveat; add Zenodo DOI to the citation
Verified signature0432a50
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Upload folder using huggingface_hub
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Rebuilt 0-12: says 'non lo so', ends its own answers, ships a GGUF
Verified signature6470b22
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Correct the failure section: the earlier examples were sampled, not greedy
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Level 12: the completed 0-12 Italian curriculum
Verified signature89.0% exact match across all 13 levels on this single checkpoint (previous build: 20%). Weights 18MB smaller: the tied lm_head is no longer stored twice.a6744b1
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First preview: level 6 checkpoint of the Italian curriculum
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initial commit
Verified signature418aff1