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4f83830 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | import gradio as gr
with gr.Blocks(theme=gr.themes.Soft(primary_hue="blue"), title="Quick Start") as demo:
gr.Markdown("""
# π dispatchAI Quick Start Guide
## Step 1: Install
```bash
pip install dispatchai[gguf]
```
## Step 2: Load a Model
```python
from dispatchai import load_model
model = load_model("SmolLM2-135M-Instruct-mobile", backend="gguf")
```
## Step 3: Chat!
```python
print(model.chat("What is the capital of France?"))
# β "The capital of France is Paris."
```
## Step 4: Find the Right Model
```python
from dispatchai import recommend
rec = recommend(ram_mb=2048, task="chat")
print(f"Best for 2GB RAM: {rec['recommended']['name']}")
```
## Step 5: Check Savings
```python
from dispatchai import calculate_cost
result = calculate_cost(daily_queries=10000)
print(f"Save ${result['savings']}/year vs cloud")
```
## Verified Models
- β
31 models fully working
- β 0 broken
- β οΈ 0 partial
- π± 3 phone-verified on Snapdragon 865
## Top 3 Models
| Model | Size | Speed | Phone Speed |
|-------|------|-------|-------------|
| SmolLM2-135M | 101MB | 59.7 t/s | 46.0 t/s |
| Qwen2.5-0.5B-int4 | 469MB | 12.5 t/s | 23.2 t/s |
| Llama-3.2-1B-Q4 | 770MB | 11.3 t/s | 5.4 t/s |
## Links
- [All Models](https://huggingface.co/dispatchAI)
- [SDK](https://huggingface.co/dispatchAI/dispatchAI-SDK)
- [MCP Hub](https://huggingface.co/spaces/dispatchAI/mcp-hub)
- [Leaderboard](https://huggingface.co/spaces/dispatchAI/mobile-llm-leaderboard)
- [Hub](https://huggingface.co/spaces/dispatchAI/hub)
---
Dispatch AI (FZE) β Sharjah, UAE. License No. 10818.
π [dispatchAI](https://huggingface.co/dispatchAI) β Small. Mobile. Free. UAE-built.
""")
demo.launch()
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