Instructions to use Sarimaa/txtvloggs-functiongemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LiteRT-LM
How to use Sarimaa/txtvloggs-functiongemma with LiteRT-LM:
# LiteRT-LM runs on various platforms (Android, iOS, Windows, Linux, macOS, IoT, Web/WASM) # and supports many APIs (C++, Python, Kotlin, Swift, JavaScript, Flutter). # For platform-specific integration guides, please refer to the official developer website: # https://ai.google.dev/edge/litert-lm # To try LiteRT-LM, the easiest way is to use our CLI tool. # 1. Install the LiteRT-LM CLI tool: pip install -U litert-lm # 2. Download and run this model locally: # See: https://ai.google.dev/edge/litert-lm/cli # A single .litertlm file in the repo is picked automatically; otherwise the CLI asks which one to run # (or pass its name right after the repo id). litert-lm run \ --from-huggingface-repo=Sarimaa/txtvloggs-functiongemma \ --prompt="Write me a poem"
- Notebooks
- Google Colab
- Kaggle
Txt Vloggs FunctionGemma (.litertlm)
A fine-tuned version of google/functiongemma-270m-it for the Txt Vloggs journal app. It turns short page commands (English, Roman Urdu, Urdu) into tool calls. It is meant for the LiteRT-LM runtime (for example the flutter_edge_ai plugin).
Modifications
- Fine-tuned on about 7,700 synthetic page-command examples.
- Converted from SafeTensors to .litertlm with litert-torch (
export_hf), int8 dynamic quantization, 256 token prefill, 1024 token context. - Bundled with the tokenizer and the chat template.
Files
model.litertlm- LiteRT-LM bundle (about 286 MB)
License
Gemma is provided under and subject to the Gemma Terms of Use found at https://ai.google.dev/gemma/terms Prohibited Use Policy: https://ai.google.dev/gemma/prohibited_use_policy
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Model tree for Sarimaa/txtvloggs-functiongemma
Base model
google/functiongemma-270m-it