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- Edit this `README.md` markdown file to author your organization card.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ <div align="center">
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+ <a href="https://mobilint.com">
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+ <img src="https://github.com/mobilint/mblt-model-zoo/blob/master/assets/Mobilint_Logo_Primary.png?raw=true"
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+ width="50%"
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+ alt="mobilint" />
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+ </a>
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+ </div>
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+
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+ # About Mobilint, Inc.
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+
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+ At Mobilint, we are at the forefront of addressing the challenges posed by the suboptimal performance of current processors.
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+ By harnessing the power of high-performance NPUs, we are pushing the boundaries of AI technology, transforming the once theoretical into the practical.
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+ This not only enhances the safety and convenience of individuals but also ignites the imagination of engineers.
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+
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+ We firmly believe in the transformative potential of AI, envisioning a future where it revolutionizes our lives in diverse and meaningful ways.
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+ Committed to excellence and innovation, Mobilint is dedicated to developing and deploying AI acceleration technologies that are shaping a better, more advanced world for everyone.
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+
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+ # Model List
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+
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+ The following tables summarize Transformers' models available with our inference package **mblt-model-zoo**.
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+ We provide the models that are quantized with our advanced quantization techniques. Performance metrics will be provided in the future.
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+
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+ ## Text Generation
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+
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+ | Model | Model ID | Link | Main | W8 | W4V8 | Note |
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+ | ----- | -------- | ---- | ---- | -- | ---- | ---- |
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+ | EXAONE-3.5-2.4B-Instruct | `mobilint/EXAONE-3.5-2.4B-Instruct` | [Link](https://huggingface.co/mobilint/EXAONE-3.5-2.4B-Instruct) | W4V8 | O | O | |
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+ | EXAONE-3.5-7.8B-Instruct | `mobilint/EXAONE-3.5-7.8B-Instruct` | [Link](https://huggingface.co/mobilint/EXAONE-3.5-7.8B-Instruct) | W4V8 | O | O | |
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+ | EXAONE-4.0-1.2B | `mobilint/EXAONE-4.0-1.2B` | [Link](https://huggingface.co/mobilint/EXAONE-4.0-1.2B) | W8 | O | X | |
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+ | EXAONE-Deep-2.4B | `mobilint/EXAONE-Deep-2.4B` | [Link](https://huggingface.co/mobilint/EXAONE-Deep-2.4B) | W8 | O | O | |
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+ | EXAONE-Deep-7.8B | `mobilint/EXAONE-Deep-7.8B` | [Link](https://huggingface.co/mobilint/EXAONE-Deep-7.8B) | W8 | O | O | |
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+ | HyperCLOVAX-SEED-Text-Instruct-1.5B | `mobilint/HyperCLOVAX-SEED-Text-Instruct-1.5B` | [Link](https://huggingface.co/mobilint/HyperCLOVAX-SEED-Text-Instruct-1.5B) | W4V8 | X | O | |
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+ | Llama-3.1-8B-Instruct | `mobilint/Llama-3.1-8B-Instruct` | [Link](https://huggingface.co/mobilint/Llama-3.1-8B-Instruct) | W4V8 | O | O | |
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+ | Llama-3.2-1B-Instruct | `mobilint/Llama-3.2-1B-Instruct` | [Link](https://huggingface.co/mobilint/Llama-3.2-1B-Instruct) | W8 | O | X | |
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+ | Llama-3.2-3B-Instruct | `mobilint/Llama-3.2-3B-Instruct` | [Link](https://huggingface.co/mobilint/Llama-3.2-3B-Instruct) | W4V8 | O | O | |
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+ | Qwen2.5-0.5B-Instruct | `mobilint/Qwen2.5-0.5B-Instruct` | [Link](https://huggingface.co/mobilint/Qwen2.5-0.5B-Instruct) | W8 | O | X | |
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+ | Qwen2.5-1.5B-Instruct | `mobilint/Qwen2.5-1.5B-Instruct` | [Link](https://huggingface.co/mobilint/Qwen2.5-1.5B-Instruct) | W8 | O | X | |
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+ | Qwen2.5-3B-Instruct | `mobilint/Qwen2.5-3B-Instruct` | [Link](https://huggingface.co/mobilint/Qwen2.5-3B-Instruct) | W4V8 | O | O | |
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+ | Qwen2.5-7B-Instruct | `mobilint/Qwen2.5-7B-Instruct` | [Link](https://huggingface.co/mobilint/Qwen2.5-7B-Instruct) | W4V8 | O | O | |
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+ | Qwen3-0.6B | `mobilint/Qwen3-0.6B` | [Link](https://huggingface.co/mobilint/Qwen3-0.6B) | W8 | O | X | |
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+ | Qwen3-1.7B | `mobilint/Qwen3-1.7B` | [Link](https://huggingface.co/mobilint/Qwen3-1.7B) | W8 | O | X | |
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+ | Qwen3-4B | `mobilint/Qwen3-4B` | [Link](https://huggingface.co/mobilint/Qwen3-4B) | W4V8 | O | O | |
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+ | Qwen3-8B | `mobilint/Qwen3-8B` | [Link](https://huggingface.co/mobilint/Qwen3-8B) | W4V8 | O | O | |
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+ | c4ai-command-r7b-12-2024 | `mobilint/c4ai-command-r7b-12-2024` | [Link](https://huggingface.co/mobilint/c4ai-command-r7b-12-2024) | W8 | X | X | |
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+
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+ ## Automatic Speech Recognition
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+
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+ | Model | Model ID | Link | Note |
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+ | ----- | -------- | ------ | ---- |
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+ | whisper-small | `mobilint/whisper-small` | [Link](https://huggingface.co/mobilint/whisper-small) | |
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+
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+ ## Image-Text-to-Text
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+
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+ | Model | Model ID | Link | Note |
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+ | ----- | -------- | ------ | ---- |
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+ | aya-vision-8b | `mobilint/aya-vision-8b` | [Link](https://huggingface.co/mobilint/aya-vision-8b) | |
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+ | Qwen2-VL-2B-Instruct | `mobilint/Qwen2-VL-2B-Instruct` | [Link](https://huggingface.co/mobilint/Qwen2-VL-2B-Instruct) | Only supports 1 image input with (224, 224) size. Image input will be resized automatically by our overridden preprocessor. |
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+
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+ ## Image to Text
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+
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+ | Model | Model ID | Link | Note |
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+ | ----- | -------- | ------ | ---- |
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+ | blip-image-captioning-large | `mobilint/blip-image-captioning-large` | [Link](https://huggingface.co/mobilint/blip-image-captioning-large) | |
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+
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+ ## Fill Mask
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+ | Model | Model ID | Link | Note |
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+ | ----- | -------- | ------ | ---- |
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+ | bert-base-uncased | `mobilint/bert-base-uncased` | [Link](https://huggingface.co/mobilint/bert-base-uncased) | |
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+ | bert-kor-base | `mobilint/bert-kor-base` | [Link](https://huggingface.co/mobilint/bert-kor-base) | |