Instructions to use Syrianapps/tally-models 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 Syrianapps/tally-models 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 Syrianapps/tally-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf Syrianapps/tally-models:UD-Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Syrianapps/tally-models:UD-Q4_K_XL # Run inference directly in the terminal: llama cli -hf Syrianapps/tally-models:UD-Q4_K_XL
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Syrianapps/tally-models:UD-Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf Syrianapps/tally-models:UD-Q4_K_XL
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Syrianapps/tally-models:UD-Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf Syrianapps/tally-models:UD-Q4_K_XL
Use Docker
docker model run hf.co/Syrianapps/tally-models:UD-Q4_K_XL
- LM Studio
- Jan
- Ollama
How to use Syrianapps/tally-models with Ollama:
ollama run hf.co/Syrianapps/tally-models:UD-Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use Syrianapps/tally-models with Docker Model Runner:
docker model run hf.co/Syrianapps/tally-models:UD-Q4_K_XL
- Lemonade
How to use Syrianapps/tally-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Syrianapps/tally-models:UD-Q4_K_XL
Run and chat with the model
lemonade run user.tally-models-UD-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
Tally โ on-device assistant model (Gemma 4 E2B, UD-Q4_K_XL)
This repo hosts the exact GGUF the Tally iOS app downloads (once, user-initiated) for its fully on-device receipt assistant.
| Property | Value |
|---|---|
| File | Gemma4-E2B/gemma-4-E2B-it-UD-Q4_K_XL.gguf |
| Size | 3,753,905,504 bytes |
| SHA-256 | e19785539eb181af829dfb9f139111789a62e219d11cff52322d4c41d9ceb4e8 |
| Base model | Google Gemma 4 E2B (instruction-tuned), Unsloth-style UD-Q4_K_XL dynamic 4-bit quant |
| License | Apache 2.0 |
The app pins an immutable commit revision of this repo and verifies the download byte-for-byte (size + GGUF magic + SHA-256) before use โ the file in this repo is intentionally never replaced in place. A model upgrade ships as a new file + a new pinned revision inside the app.
The download request carries no user data; receipts and questions never leave the device.
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