Instructions to use DoctorPuppy/studyapp-writer 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 DoctorPuppy/studyapp-writer 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 DoctorPuppy/studyapp-writer # Run inference directly in the terminal: llama cli -hf DoctorPuppy/studyapp-writer
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf DoctorPuppy/studyapp-writer # Run inference directly in the terminal: llama cli -hf DoctorPuppy/studyapp-writer
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 DoctorPuppy/studyapp-writer # Run inference directly in the terminal: ./build/bin/llama cli -hf DoctorPuppy/studyapp-writer
Use Docker
docker model run hf.co/DoctorPuppy/studyapp-writer
- Llama new
- LM Studio
- Jan
- Ollama
How to use DoctorPuppy/studyapp-writer with Ollama:
ollama run hf.co/DoctorPuppy/studyapp-writer
- Unsloth Desktop
- Pi
How to use DoctorPuppy/studyapp-writer with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf DoctorPuppy/studyapp-writer
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "DoctorPuppy/studyapp-writer" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use DoctorPuppy/studyapp-writer with Docker Model Runner:
docker model run hf.co/DoctorPuppy/studyapp-writer
- Lemonade
How to use DoctorPuppy/studyapp-writer with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull DoctorPuppy/studyapp-writer
Run and chat with the model
lemonade run user.studyapp-writer-{{QUANT_TAG}}List all available models
lemonade list
- Hermes Agent
How to use DoctorPuppy/studyapp-writer with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf DoctorPuppy/studyapp-writer
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default DoctorPuppy/studyapp-writer
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use DoctorPuppy/studyapp-writer with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf DoctorPuppy/studyapp-writer
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "DoctorPuppy/studyapp-writer" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
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Download README.md from DoctorPuppy/studyapp-writer: direct link, hf CLI and curl.
- Browser
- Download file 2.31 kB
-
https://huggingface.co/DoctorPuppy/studyapp-writer/resolve/main/README.md
- Command line
-
hf download hf://DoctorPuppy/studyapp-writer/README.md
-
curl -L -o README.md https://huggingface.co/DoctorPuppy/studyapp-writer/resolve/main/README.md
2.31 kB
| license: apache-2.0 | |
| base_model: google/gemma-4-E2B-it | |
| tags: | |
| - gguf | |
| - llama.cpp | |
| - education | |
| - flashcards | |
| # StudyApp card writer | |
| The card writer that the StudyApp desktop app downloads. It's Gemma 4 E2B (instruction-tuned), trained with a LoRA | |
| adapter on StudyApp's own tasks, merged, and quantized to Q4_K_M for llama.cpp. It runs locally, entirely offline. | |
| The tasks it's trained on, using the app's own prompts and output formats: | |
| - flashcards for each page of a student's notes | |
| - facts, scenario questions and practice-test questions | |
| - grading a typed answer, and checking the key points of a written one | |
| - chat that answers only from the student's notes, and answers `NOT_FOUND` when the notes don't have the answer | |
| StudyApp runs it with the multi-token-prediction head from | |
| [ggml-org/gemma-4-E2B-it-GGUF](https://huggingface.co/ggml-org/gemma-4-E2B-it-GGUF) | |
| (`mtp-gemma-4-E2B-it-Q8_0.gguf`) for faster generation. | |
| ## Training data | |
| There are 618 examples. Each one was written for excerpts of openly licensed textbooks and passed the same checks the | |
| app runs on its own output. 569 were used for training and 49 were held out to measure it. | |
| The excerpts come from these OpenStax textbooks (openstax.org), which are licensed under | |
| [CC BY 4.0](https://creativecommons.org/licenses/by/4.0). They're free to read at openstax.org. | |
| - American Government 2e | |
| - Anatomy and Physiology | |
| - Biology | |
| - Chemistry | |
| - College Physics | |
| - Introduction to Sociology 2e | |
| - Introductory Statistics | |
| - Precalculus | |
| - Principles of Economics 2e | |
| - Psychology | |
| ## Release test | |
| This writer was compared with the original Gemma 4 E2B on two textbooks it never trained on: OpenStax Astronomy and | |
| Introduction to Intellectual Property. | |
| | | Original | This writer | | |
| |---|---|---| | |
| | Flashcards: answers that broke the app's format or limits | 0 of 46 | 0 of 46 | | |
| | Flashcards: cards the app's checks flagged | 0 of 136 | 3 of 145 | | |
| | Flashcards: blind read, which writer's cards were better | 6 | 22 (18 the same) | | |
| | Chat: questions the notes answer, answered cleanly | 12 of 12 | 11 of 12 | | |
| | Chat: questions the notes can't answer, declined | 9 of 11 | 10 of 11 | | |
| | Practice-test questions: problems found in 3 page batches | 3 | 8 | | |
| ## License | |
| The model weights are licensed under Apache-2.0, the same as Gemma 4. | |