THUDM/GLM-4.1V-9B-Thinking
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10B
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15.3k
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462
E.M. Rabani
SkyMind
·
AI & ML interests
Neuromorphic NNs
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THUDM/GLM-4.1V-9B-Thinking
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calcuis/omnigen2-gguf
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Hunyuan-A13B 🔥 New MoE LLM by TencentHunyuan
tencent/Hunyuan-A13B-Instruct
✨80B total / 13B active params
✨256K context window
✨Dual-mode reasoning: fast & slow thinking
✨Efficient inference (GQA + quantization)
tencent/Hunyuan-A13B-Instruct
✨80B total / 13B active params
✨256K context window
✨Dual-mode reasoning: fast & slow thinking
✨Efficient inference (GQA + quantization)
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💫 Next-Level On-Device AI Showdown
🪽 See It to Believe It, How QWEN4b works at On-device environment without expensive GPU Cloud server?
We’ve crafted a side-by-side demo video showcasing both Jan-Nano and QWEN 4B in action—no more wondering which model reigns supreme. Click play, compare their speeds, accuracy, and memory footprints, and decide which one fits your needs best!
👋 Why You Can’t Miss This
We are actively creating runnable sLLM environments for On-device AI. You can just build On-device AI apps within few hours.
Including Jan-Nano, QWEN4b, there are several sLLM models ready to be used on your AI application!.
🤑 Please feel free to use, because it is free to use!.
Ready to Compare?
Watch now, draw your own conclusions, and let us know which model you’d deploy in your next edge-AI project! 🌍💡
#OnDeviceAI #EdgeAI #AIShowdown #MLOptimization #DemoVideo #AIComparison
🪽 See It to Believe It, How QWEN4b works at On-device environment without expensive GPU Cloud server?
We’ve crafted a side-by-side demo video showcasing both Jan-Nano and QWEN 4B in action—no more wondering which model reigns supreme. Click play, compare their speeds, accuracy, and memory footprints, and decide which one fits your needs best!
👋 Why You Can’t Miss This
We are actively creating runnable sLLM environments for On-device AI. You can just build On-device AI apps within few hours.
Including Jan-Nano, QWEN4b, there are several sLLM models ready to be used on your AI application!.
🤑 Please feel free to use, because it is free to use!.
Ready to Compare?
Watch now, draw your own conclusions, and let us know which model you’d deploy in your next edge-AI project! 🌍💡
#OnDeviceAI #EdgeAI #AIShowdown #MLOptimization #DemoVideo #AIComparison
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Skywork/SkyReels-V2-DF-1.3B-540P
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wsbagnsv1/SkyReels-V2-I2V-14B-720P-GGUF
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mistralai/Mistral-Small-24B-Instruct-2501
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Self-Forcing - a real-time video distilled model from Wan 2.1 by
@adobe
is out, and they open sourced it 🐐
I've built a live real time demo on Spaces 📹💨
multimodalart/self-forcing
I've built a live real time demo on Spaces 📹💨
multimodalart/self-forcing
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RWKV-7 "Goose" 0.4B trained w/ ctx4k automatically extrapolates to ctx32k+, and perfectly solves NIAH ctx16k 🤯 100% RNN and attention-free. Only trained on the Pile. No finetuning. Replicable training runs. tested by our community: https://github.com/Jellyfish042/LongMamba
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