Qwen3.5
Collection
21 items • Updated • 1.38k
Bailey Wallace
Bailey00
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upvoted a collection about 5 hours ago
Qwen3.5 liked a dataset 8 days ago
rx-dev/uncensor-v1-dpo liked a dataset about 1 month ago
OpenResearcher/OpenResearcher-DatasetOrganizations
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ArtusDev/fedric95_Qwen3-4B-Instruct-2507-unc-EXL3
Text Generation • Updated • 3 • 1
fedric95/Qwen3-4B-Instruct-2507-unc
Text Generation • 4B • Updated • 4
bartowski/magnum-v4-123b-GGUF
Text Generation • 123B • Updated • 224 • 10
unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF
Image-Text-to-Text • 31B • Updated • 57.3k • 90
unsloth/MiniMax-M2-GGUF
Text Generation • 229B • Updated • 1.58k • 87
mradermacher/MiniMax-M2-i1-GGUF
229B • Updated • 198 • 8
reactedto danielhanchen's post with 🤗 6 months ago
Post
3792
It's Qwen3 week! 💜 We uploaded Dynamic 2-bit GGUFs for:
Qwen3-Coder: unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF
Qwen3-2507: unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF
So you can run them both locally!
Guides are in model cards.
Qwen3-Coder: unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF
Qwen3-2507: unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF
So you can run them both locally!
Guides are in model cards.
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Hugging Face Changelog
Introducing HF Jobs: Run scalable compute jobs on Hugging Face
• 202
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reactedto Xenova's post with ❤️ about 1 year ago
Post
3753
Introducing TTS WebGPU: The first ever text-to-speech web app built with WebGPU acceleration! 🔥 High-quality and natural speech generation that runs 100% locally in your browser, powered by OuteTTS and Transformers.js. 🤗 Try it out yourself!
Demo: https://huggingface.co/spaces/webml-community/text-to-speech-webgpu
Source code: https://github.com/huggingface/transformers.js-examples/tree/main/text-to-speech-webgpu
Model: onnx-community/OuteTTS-0.2-500M (ONNX), OuteAI/OuteTTS-0.2-500M (PyTorch)
Demo: https://huggingface.co/spaces/webml-community/text-to-speech-webgpu
Source code: https://github.com/huggingface/transformers.js-examples/tree/main/text-to-speech-webgpu
Model: onnx-community/OuteTTS-0.2-500M (ONNX), OuteAI/OuteTTS-0.2-500M (PyTorch)
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