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Reason: File \"/home/user/app/app.py\", line 105, in \n gr.Examples(\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/gradio/helpers.py\", line 75, in create_examples\n examples_obj.create()\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/gradio/helpers.py\", line 286, in create\n client_utils.synchronize_async(self.cache)\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/gradio_client/utils.py\", line 540, in synchronize_async\n return fsspec.asyn.sync(fsspec.asyn.get_loop(), func, *args, **kwargs) # type: ignore\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/fsspec/asyn.py\", line 103, in sync\n raise return_result\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/fsspec/asyn.py\", line 56, in _runner\n result[0] = await coro\n File \"/home/user/.pyenv/versions/3.10.16/lib/python3.10/site-packages/gradio/helpers.py\", line 347, in cache\n prediction = await 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Nemotron 3 Nano is my new fav local model, but here's the real flex: they published the entire evaluation setup. Configs, prompts, logs, all of it. This is how you do open models 🔥","raw":"Nvidia is on a roll lately. Nemotron 3 Nano is my new fav local model, but here's the real flex: they published the entire evaluation setup. Configs, prompts, logs, all of it. This is how you do open models 🔥"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"link","href":"https://huggingface.co/blog/nvidia/nemotron-3-nano-evaluation-recipe","raw":"https://huggingface.co/blog/nvidia/nemotron-3-nano-evaluation-recipe"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"}],"rawContent":"Nvidia is on a roll lately. Nemotron 3 Nano is my new fav local model, but here's the real flex: they published the entire evaluation setup. Configs, prompts, logs, all of it. 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Ask an expert AI agent team to solve complex problems together 🔥","raw":"Open Source Avengers, Assemble! Ask an expert AI agent team to solve complex problems together 🔥"},{"type":"new_line","raw":"\n"},{"type":"new_line","raw":"\n"},{"type":"text","value":"Consilium brings together multiple agents that debate and use live research (web, arXiv, SEC) to reach a consensus. You set the strategy, they find the answer.","raw":"Consilium brings together multiple agents that debate and use live research (web, arXiv, SEC) to reach a consensus. 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Victor Mustar's picture
Building on HF

Victor Mustar PRO

victor
huggingface

AI & ML interests

Building the UX of this website

Recent Activity

liked a dataset about 10 hours ago
Sp1786/multiclass-sentiment-analysis-dataset
liked a dataset about 10 hours ago
rohith2812/stanford-sentiment-treebank-dataset
liked a Space 3 days ago
black-forest-labs/FLUX.2-klein-4B
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