the-robot-ai commited on
Commit
4553668
·
verified ·
1 Parent(s): 94e4292

Update readme with a demo usage of this model

Browse files
Files changed (1) hide show
  1. README.md +29 -1
README.md CHANGED
@@ -11,4 +11,32 @@ tags:
11
  TinyLink is a **lightweight** language model fine-tuned to translate natural language instructions into MAVLink command dictionaries.
12
  It is designed for edge robotics. Unlike solutions relying on cloud APIs, TinyLink runs **fully offline** on your local machine.
13
 
14
- ![TinyLink.png](https://cdn-uploads.huggingface.co/production/uploads/68c73fc79be97c6ebdbaeb02/rnJwAmo2SnXx4UH4pB9fk.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  TinyLink is a **lightweight** language model fine-tuned to translate natural language instructions into MAVLink command dictionaries.
12
  It is designed for edge robotics. Unlike solutions relying on cloud APIs, TinyLink runs **fully offline** on your local machine.
13
 
14
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/68c73fc79be97c6ebdbaeb02/Uh1At0zTW45mweZh8Ynj_.png)
15
+
16
+ ## Features
17
+ - Translates plain text instructions into MAVLink commands.
18
+ - Runs entirely on-device for enhanced privacy. No API keys or cloud dependency.
19
+ - Runs on everyday hardware; no GPU or excessive RAM needed.
20
+ - Tested with ArduPilot SITL.
21
+ - Achieves **1.5–2.2s** inference times on CPU, depending on hardware.
22
+ - Supported Commands:
23
+ 1. Arm
24
+ 2. Disarm
25
+ 3. Takeoff
26
+ 4. Land
27
+ 5. Change mode (limited modes supported)
28
+ 6. Move in X, Y, Z (Copter and Rover)
29
+
30
+ ## Performance & Tested Platforms
31
+
32
+ | Platform | RAM | Inference Time (avg) | Status |
33
+ |-------------------------|------------------|-----------------------|-------------|
34
+ | Win 11 (App) & WSL2 (SITL) | 16 GB | 1.7 - 4s (Avg 2.2s) | ✅ Tested |
35
+ | Raspberry Pi 5 | 4 GB | 0.8 - 2s (Avg 1.5s) | ✅ Tested |
36
+ | NVIDIA Jetson Nano | - | - | ❌ Not tested |
37
+
38
+
39
+ ## Demo
40
+
41
+ For a demo on how to use this model, you can check the following [Github repo](https://github.com/grep265/tinylink)
42
+