---
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>
```