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92f81d2fcb
* moondream implementation * add moondream example * change config default activation * Add assets and integrate phi mixformer with example * Make use of kv cache and fix seq_len bug; Clean up example code * Add README link to example * Remove pos_embed scaling; Remove assets; Add to README; Expand VisionConfig * Delete image * Use apply instead of forward
26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
# candle-moondream
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[Moondream](https://github.com/vikhyat/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.
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## Running some examples
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First download an example image
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```bash
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$ wget https://raw.githubusercontent.com/vikhyat/moondream/main/assets/demo-1.jpg
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```
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<img src="https://raw.githubusercontent.com/vikhyat/moondream/main/assets/demo-1.jpg" width="200">
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Now you can run Moondream from the `candle-examples` crate:
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```bash
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$ cargo run --example moondream --release -- --prompt "What is the girl eating?" --image "./demo-1.jpg"
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avavx: false, neon: true, simd128: false, f16c: false
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temp: 0.00 repeat-penalty: 1.00 repeat-last-n: 64
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retrieved the files in 3.395583ms
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Running on CPU, to run on GPU(metal), build this example with `--features metal`
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loaded the model in 5.485493792s
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loaded and encoded the image Tensor[dims 3, 378, 378; f32] in 4.801396417s
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starting the inference loop
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The girl is eating a hamburger.<
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9 tokens generated (0.68 token/s)
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``` |