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Kyle Birnbaum 648596c073 Added readmes to examples (#2835 )

* added chatGLM readme

* changed wording in readme

* added readme for chinese-clip

* added readme for convmixer

* added readme for custom ops

* added readme for efficientnet

* added readme for llama

* added readme to mnist-training

* added readme to musicgen

* added readme to quantized-phi

* added readme to starcoder2

* added readme to whisper-microphone

* added readme to yi

* added readme to yolo-v3

* added readme to whisper-microphone

* added space to example in glm4 readme

* fixed mamba example readme to run mamba instead of mamba-minimal

* removed slash escape character

* changed moondream image to yolo-v8 example image

* added procedure for making the reinforcement-learning example work with a virtual environment on my machine

* added simple one line summaries to the example readmes without

* changed non-existant image to yolo example's bike.jpg

* added backslash to sam command

* removed trailing - from siglip

* added SoX to silero-vad example readme

* replaced procedure for uv on mac with warning that uv isn't currently compatible with pyo3

* added example to falcon readme

* added --which arg to stella-en-v5 readme

* fixed image path in vgg readme

* fixed the image path in the vit readme

* Update README.md

* Update README.md

* Update README.md

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Co-authored-by: Laurent Mazare <laurent.mazare@gmail.com>

2025-04-03 09:18:29 +02:00

main.rs

use moondream1 model/revision for moondream example (#2748 )

2025-01-28 22:19:54 +01:00

README.md

Added readmes to examples (#2835 )

2025-04-03 09:18:29 +02:00

README.md

candle-moondream

Moondream is a computer-vision model can answer real-world questions about images. It's tiny by today's models, with only 1.6B parameters. That enables it to run on a variety of devices, including mobile phones and edge devices.

Running some examples

First download an example image

$ wget https://raw.githubusercontent.com/vikhyat/moondream/main/assets/demo-1.jpg

Now you can run Moondream from the candle-examples crate:

$ cargo run --example moondream --release -- --prompt "Describe the people behind the bikers?" --image "candle-examples/examples/yolo-v8/assets/bike.jpg"

avavx: false, neon: true, simd128: false, f16c: false
temp: 0.00 repeat-penalty: 1.00 repeat-last-n: 64
retrieved the files in 3.395583ms
Running on CPU, to run on GPU(metal), build this example with `--features metal`
loaded the model in 5.485493792s
loaded and encoded the image Tensor[dims 3, 378, 378; f32] in 4.801396417s
starting the inference loop
 The girl is eating a hamburger.<
9 tokens generated (0.68 token/s)