Tried looking at it on mobile, the sticky filter section takes most of the vertical viewport space, so you can’t really see the results
Peter Stewart
poita66
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a model 17 days ago
NoesisLab/Spartacus-1B-Instruct Organizations
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reacted to branikita's post with ❤️ 9 days ago
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1524
We tested our 3D-printed parallel gripper for the SO-ARM100/101 robotic platform, successfully handling a 1.5 kg payload. The gripper features a 100.5mm full stroke and ±0.05mm repeatability — all for around $76 in parts and 30 minutes of assembly.
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
Full source code, STL files, and assembly guide are open-source and available on GitHub: https://github.com/roboninecom/SO-ARM100-101-Parallel-Gripper
liked 4 models 17 days ago
reacted to marksverdhei's post with 🤯 20 days ago
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1682
# The most underrated feature of Qwen3-TTS: Voice embeddings! 🧑🦰💬
https://huggingface.co/collections/marksverdhei/qwen3-voice-embedding
Did you know that Qwen3 TTS actually utilizes voice embedding?
Your voice is turned into a vector of 1024 (or 2048) dimensions,
and based on this vector alone you can get your custom voice.
But the coolest part is that this means that you can use math to modify voices, average voices. You can swap gender, pitch, mix and match vocies, and even create an emotion space! This also enables semantic voice search!
The voice embedding model is actually just a tiny encoder with just a few million parameters. I've ripped it out of the voice embeding model so you can use the embedding model standalone. Check out my collection! :D
https://huggingface.co/collections/marksverdhei/qwen3-voice-embedding
Did you know that Qwen3 TTS actually utilizes voice embedding?
Your voice is turned into a vector of 1024 (or 2048) dimensions,
and based on this vector alone you can get your custom voice.
But the coolest part is that this means that you can use math to modify voices, average voices. You can swap gender, pitch, mix and match vocies, and even create an emotion space! This also enables semantic voice search!
The voice embedding model is actually just a tiny encoder with just a few million parameters. I've ripped it out of the voice embeding model so you can use the embedding model standalone. Check out my collection! :D
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reacted to danielhanchen's post with 🔥 27 days ago
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5663
You can now run Qwen3.5 locally! 💜
Qwen3.5-397B-A17B is an open MoE vision reasoning LLM for agentic coding & chat. It performs on par with Gemini 3 Pro, Claude Opus 4.5 & GPT-5.2.
GGUF: unsloth/Qwen3.5-397B-A17B-GGUF
Run Dynamic 3-bit on a 192GB Mac for 20 tokens/s.
Guide: https://unsloth.ai/docs/models/qwen3.5
Qwen3.5-397B-A17B is an open MoE vision reasoning LLM for agentic coding & chat. It performs on par with Gemini 3 Pro, Claude Opus 4.5 & GPT-5.2.
GGUF: unsloth/Qwen3.5-397B-A17B-GGUF
Run Dynamic 3-bit on a 192GB Mac for 20 tokens/s.
Guide: https://unsloth.ai/docs/models/qwen3.5
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