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<title>Arm Hugging Face Learning Paths</title>
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<h2>Explore Arm-Optimized Learning Paths on Hugging Face</h2>
<p>Arm’s AI development resources help you deploy faster with optimized performance on Arm by default. The resources highlight Arm integrations with major OSes and frameworks to simplify development and enable scalability and portability for your applications.</p>
<p>Follow our curated Learning Paths to explore Arm-optimized AI models available in our Hugging Face Model Collections, and to streamline your journey from discovery to deployment on Arm.</p>
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<th>Learning Path</th>
<th>Market Application</th>
<th>Model(s) Featured</th>
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<tr><th colspan="3" style="background-color:#555; color:#fff;">Generative AI</th></tr>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag/" target="_blank">Build a RAG application using Zilliz Cloud on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2" target="_blank">All Minilm L6 V2</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp/" target="_blank">Accelerate NLP models from Hugging Face on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english" target="_blank">Distilbert Base Uncased Finetuned Sst 2 English</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/llama-cpu/" target="_blank">Deploy a Large Language Model (LLM) chatbot with llama.cpp using KleidiAI on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/cognitivecomputations/dolphin-2.9.4-llama3.1-8b-gguf" target="_blank">Dolphin 2.9.4 Llama3.1 8B Gguf</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/milvus-rag/" target="_blank">Build a RAG application using Zilliz Cloud on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/cognitivecomputations/dolphin-2.9.4-llama3.1-8b-gguf" target="_blank">Dolphin 2.9.4 Llama3.1 8B Gguf</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/pytorch-llama/" target="_blank">Run a Large Language Model (LLM) chatbot with PyTorch using KleidiAI on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct" target="_blank">Llama 3.1 8B Instruct</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/rag/" target="_blank">Deploy a RAG-based Chatbot with llama-cpp-python using KleidiAI on Google Axion processors</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/chatpdflocal/llama3.1-8b-gguf" target="_blank">Llama3.1 8B Gguf</a></td>
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<td><a href="https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-llama3-chat-android-app-using-executorch-and-xnnpack/" target="_blank">Build an Android chat app with Llama, KleidiAI, ExecuTorch, and XNNPACK</a></td>
<td>Smartphone</td>
<td><a href="https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct" target="_blank">Llama 3.2 1B Instruct</a></td>
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<td><a href="https://learn.arm.com/learning-paths/embedded-and-microcontrollers/llama-python-cpu/" target="_blank">Run a local LLM chatbot on a Raspberry Pi 5</a></td>
<td>Raspberry Pi</td>
<td><a href="https://huggingface.co/Aryanne/Orca-Mini-3B-gguf" target="_blank">Orca Mini 3B Gguf</a></td>
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<td><a href="https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/build-android-chat-app-using-onnxruntime/" target="_blank">Build an Android chat application with ONNX Runtime API</a></td>
<td>Smartphone</td>
<td><a href="https://huggingface.co/microsoft/Phi-3-vision-128k-instruct-onnx-cuda" target="_blank">Phi 3 Vision 128K Instruct Onnx Cuda</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/rtp-llm/" target="_blank">Run an LLM chatbot with rtp-llm on Arm-based servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/Qwen/Qwen2-0.5B-Instruct" target="_blank">Qwen2 0.5B Instruct</a></td>
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<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/vllm/" target="_blank">Build and Run a Virtual Large Language Model (vLLM) on Arm Servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct" target="_blank">Qwen2.5 0.5B Instruct</a></td>
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<td><a href="https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/kleidiai-on-android-with-mediapipe-and-xnnpack/" target="_blank">LLM inference on Android with KleidiAI, MediaPipe, and XNNPACK</a></td>
<td>Smartphone</td>
<td><a href="https://huggingface.co/google/gemma-2b" target="_blank">Gemma 2B</a></td>
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<td><a href="https://learn.arm.com/learning-paths/embedded-and-microcontrollers/rpi-llama3/" target="_blank">Run Llama 3 on a Raspberry Pi 5 using ExecuTorch</a></td>
<td>Raspberry Pi</td>
<td><a href="https://huggingface.co/meta-llama/Llama-3.1-8B" target="_blank">Llama 3.1 8B</a></td>
</tr>
<tr><th colspan="3" style="background-color:#555; color:#fff;">CV: Image Classification & Object Detection</th></tr>
<tr>
<td><a href="https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/profiling-ml-on-arm/" target="_blank">Profile the Performance of AI and ML Mobile Applications on Arm</a></td>
<td>Smartphone</td>
<td><a href="https://huggingface.co/google/mobilenet_v2_1.0_224" target="_blank">Mobilenet V2 1.0 224</a></td>
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<td><a href="https://learn.arm.com/learning-paths/embedded-and-microcontrollers/yolo-on-himax/" target="_blank">Run a Computer Vision Model on a Himax Microcontroller</a></td>
<td>IoT</td>
<td><a href="https://huggingface.co/Ultralytics/YOLOv8" target="_blank">Yolov8</a></td>
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<tr><th colspan="3" style="background-color:#555; color:#fff;">Sentiment Analysis</th></tr>
<tr>
<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/nlp-hugging-face/" target="_blank">Run a Natural Language Processing (NLP) model from Hugging Face on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest" target="_blank">Twitter Roberta Base Sentiment Latest</a></td>
</tr>
<tr>
<td><a href="https://learn.arm.com/learning-paths/servers-and-cloud-computing/benchmark-nlp/" target="_blank">Accelerate NLP models from Hugging Face on Arm servers</a></td>
<td>Cloud & Datacenter</td>
<td><a href="https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english" target="_blank">Distilbert Base Uncased Finetuned Sst 2 English</a></td>
</tr>
</tbody>
</table>
<br>
<strong>Arm Kleidi: Unleashing Mass-Market AI Performance on Arm</strong>
<p>Arm Kleidi developer enablement technologies and kernel libraries unlock AI performance across the world's popular AI frameworks and runtimes, accelerating AI workloads everywhere on Arm. Ecosystem integrations help application developers achieve top performance by default and future-proof performance, with no additional work or skills investment.</p>
<p><b>Useful Resources on Arm Kleidi:</b></p>
<ul>
<li>Arm KleidiAI for optimizing any AI framework: <a href="https://gitlab.arm.com/kleidi/kleidiai" target="_blank">Gitlab repo</a> and <a href="https://community.arm.com/arm-community-blogs/b/ai-and-ml-blog/posts/kleidiai" target="_blank"> blog</a></li>
<li>Arm KleidiCV for optimizing any computer vision framework: <a href="https://gitlab.arm.com/kleidi/kleidicv" target="_blank">Gitlab repo</a> and <a href="https://community.arm.com/arm-community-blogs/b/ai-and-ml-blog/posts/kleidicv" target="_blank"> blog</a></li>
<li><a href="https://github.com/ARM-software/ComputeLibrary" target="_blank">Arm Compute Library for all AI software</a></li>
</ul>
<p><i><small>Note: The data collated here is sourced from Arm and third parties. While Arm uses reasonable efforts to keep this information accurate, Arm does not warrant (express or implied) or provide any guarantee of data correctness due to the ever-evolving AI and software landscape. Any links to third-party sites and resources are provided for ease and convenience. Your use of such third-party sites and resources is subject to the third party’s terms of use, and use is at your own risk.</small></i></p>
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