| --- |
| language: [en, hi] |
| license: gemma |
| tags: |
| - function-calling |
| - gemma |
| - kosha |
| - android |
| - on-device |
| - litert |
| - mediapipe |
| - finance |
| base_model: 2796gauravc/kosha-functiongemma-phase0 |
| --- |
| |
| # KOSHA Phase 0 — Android .task File |
|
|
| **KOSHA (कोश)** — Private on-device Indian finance tracker. |
| This is the **MediaPipe-ready `.task` file** for Android LiteRT deployment. |
|
|
| The fine-tuned merged model is at [2796gauravc/kosha-functiongemma-phase0](https://huggingface.co/2796gauravc/kosha-functiongemma-phase0). |
|
|
| ## File Info |
| | Property | Value | |
| |---|---| |
| | Base model | FunctionGemma 270M | |
| | Quantization | dynamic_int8 | |
| | KV cache max len | 1024 | |
| | Size | ~290 MB | |
| | Format | MediaPipe `.task` (LiteRT) | |
| |
| ## Functions |
| - `log_expense` — Indian bills, UPI, groceries, fuel, dining |
| - `log_income` — Salary, freelance, UPI received |
| - `no_expense` — OTP, promotions, non-financial messages |
|
|
| ## Android Integration |
|
|
| ```kotlin |
| // build.gradle.kts |
| implementation("com.google.mediapipe:tasks-genai:0.10.22") |
| |
| // Usage |
| val options = LlmInference.LlmInferenceOptions.builder() |
| .setModelPath("/data/local/tmp/kosha_phase0_q8_ekv1024.task") |
| .setMaxTokens(1024) |
| .setTopK(64) |
| .setTopP(0.95f) |
| .setTemperature(0.1f) // Low temp for deterministic function calls |
| .setPreferredBackend(LlmInference.Backend.CPU) // CPU recommended for Gemma 270M |
| .build() |
| val llm = LlmInference.createFromOptions(context, options) |
| |
| val result = llm.generateResponse(yourFunctionGemmaPrompt) |
| // Parse: <start_function_call>call:log_expense{...}<end_function_call> |
| ``` |
|
|
