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dan su

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reacted to mrs83's post with 😎 about 11 hours ago
🚀 Just released a PoC: Kurtis-E1 MLX Voice Agent An offline, privacy-first voice assistant built for macOS (Apple Silicon), designed for empathetic, short-form interactions. 🧠 Powered by: - Whisper (via MLX) for speech-to-text: https://pypi.org/project/mlx-whisper/ - Kurtis-E1 (a custom SmolLM2 LLM) via Ollama - Coqui-TTS XTTSv2 for multilingual TTS - Optional translation layer via TowerInstruct-13B-v0.1 for non-English voice input/output: https://huggingface.co/Unbabel/TowerInstruct-13B-v0.1 🎧 Everything runs entirely on-device (Mac Mini M4 Max - 24gb) — no cloud, no remote API calls, no data leakage. 💡 Code is fully handcrafted (no AI-generated code), and designed to showcase what’s possible with local models, even on laptops. 🛠️ Open to contributions, ideas (e.g., LM Studio for MLX inference, MLX worker subprocess, optimize for latency and VRAM usage). 👉 Video demo (Italian): https://www.youtube.com/watch?v=8-1PcmUStaI PoC: https://github.com/ethicalabs-ai/Kurtis-E1-MLX-Voice-Agent Kurtis-E1: https://huggingface.co/collections/ethicalabs/kurtis-e1-67a9148e0836885c44c7902c Kurtis-E1 WebGPU: https://huggingface.co/spaces/ethicalabs/Kurtis-E1-WebGPU
reacted to AdinaY's post with 😎 22 days ago
Exciting releases from the Chinese community this February🔥 👉 https://huggingface.co/collections/zh-ai-community/2025-february-67a35aaa68e97812def5b6ef MLLM: ✨ Ovis2 by Alibaba https://huggingface.co/collections/AIDC-AI/ovis2-67ab36c7e497429034874464 ✨ Step Audio Chat by StepFun AI https://huggingface.co/collections/stepfun-ai/step-audio-67b33accf45735bb21131b0b Audio: ✨ Step Audio TTS by StepFunAI https://huggingface.co/stepfun-ai/Step-Audio-TTS-3B ✨ InspireMusic by Alibaba https://huggingface.co/FunAudioLLM ✨ Baichuan Audio by BaichuanAI https://huggingface.co/baichuan-inc/Baichuan-Audio-Instruct Video: ✨ Wan2.1 by Alibaba_Wan https://huggingface.co/Wan-AI/Wan2.1-T2V-14B ✨ Stepvideo-T2V by StepFun AI https://huggingface.co/stepfun-ai/stepvideo-t2v ✨ SkyReels-V1 by Skywork https://huggingface.co/collections/Skywork/skyreels-v1-67b34676ff65b4ec02d16307 ✨ LLaDA-8B by RenminUniversity https://huggingface.co/GSAI-ML/LLaDA-8B-Instruct MoE: ✨ Moonlight-16B by MoonshotAI (Kimi) https://huggingface.co/moonshotai/Moonlight-16B-A3B-Instruct Reasoning: ✨ TinyR1-32B by Qihoo360 https://huggingface.co/qihoo360/TinyR1-32B-Preview Dataset: ✨ Chinese DeepSeek R1-Distill data -110k https://huggingface.co/datasets/Congliu/Chinese-DeepSeek-R1-Distill-data-110k
reacted to MonsterMMORPG's post with 🔥 22 days ago
Wan 2.1 AI Video Model: Ultimate Step-by-Step Tutorial for Windows & Affordable Private Cloud Setup : https://youtu.be/hnAhveNy-8s https://youtu.be/hnAhveNy-8s Please check all screenshots to see latest news and updates after the tutorial video Alibaba’s new Wan 2.1 text-to-video, video-to-video and image-to-video Open Source AI is unbelievable. In this tutorial I will show how you can install Wan 2.1 all publicly published models into your Windows PC with 1-click installation and use them with the easiest possible way. With the Gradio APP I have developed, you will be able to use Wan AI with as low as 3.5GB VRAM having GPUs. Furthermore, for those who want to utilize powerful private cloud GPUs with cheapest possible prices, I will show how to 1-click and install Wan 2.1 on Massed Compute and on RunPod. Additionally, I will compare performance of RTX 3090 TI with RTX 5090 on all Wan 2.1 models. You will be shocked to see performance of RTX 5090. Also the APP I developed supports all RTX 5000 series on Windows with Python VENV natively. You don't need Linux or WSL. 🔗 Full Instructions, Configs, Installers, Information and Links Shared Post (the one used in the tutorial) ⤵️ ▶️ https://www.patreon.com/posts/click-to-open-post-used-in-tutorial-123105403 🔗 SECourses Official Discord 9500+ Members ⤵️ ▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388 🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️ ▶️ https://github.com/FurkanGozukara/Stable-Diffusion 🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️ ▶️ https://www.reddit.com/r/SECourses/ 🔗 MSI RTX 5090 TRIO FurMark Benchmarking + Overclocking + Noise Testing and Comparing with RTX 3090 TI ⤵️ ▶️ https://youtu.be/uV3oqdILOmA 🔗 RTX 5090 Tested Against FLUX DEV, SD 3.5 Large, SD 3.5 Medium, SDXL, SD 1.5, AMD 9950X + RTX 3090 TI ⤵️ ▶️ https://youtu.be/jHlGzaDLkto
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