Unsloth Studio
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DedeProGames PRO
DedeProGames
AI & ML interests
Thinking and Agentic Finetuning
Recent Activity
liked
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unsloth/studio updated
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OrionLLM/README new activity
about 18 hours ago
huggingface/InferenceSupport:OrionLLM/GRM-1.5b Organizations
liked a Space about 2 hours ago
updated a Space about 8 hours ago
OrionLLM/GRM-1.5b
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#8692 opened about 18 hours ago
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DedeProGames
liked a Space about 22 hours ago
OrionLLM/GRM-7b
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#8688 opened about 22 hours ago
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DedeProGames
Tesslate/OmniCoder-9B
#8687 opened about 22 hours ago
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DedeProGames
reacted to AtAndDev's post with 🚀🔥 about 22 hours ago
Post
649
Qwen 3 Coder is a personal attack to k2, and I love it.
It achieves near SOTA on LCB while not having reasoning.
Finally people are understanding that reasoning isnt necessary for high benches...
Qwen ftw!
DECENTRALIZE DECENTRALIZE DECENTRALIZE
It achieves near SOTA on LCB while not having reasoning.
Finally people are understanding that reasoning isnt necessary for high benches...
Qwen ftw!
DECENTRALIZE DECENTRALIZE DECENTRALIZE
reacted to unmodeled-tyler's post with 🚀 about 23 hours ago
Post
4747
LINK: https://github.com/unmodeled-tyler/vessel-browser
Hey Hugging Face!
It's been quiet from me over here for the last few weeks, but I've been busy building! I just submitted my project to the Hermes Agent Hackathon, and wanted to share it with all of you.
This is Vessel Browser - an AI-native web browser that runs locally on Linux, and is operated by your personal AI agent via MCP server. Vessel is built from the ground up around the agent as first-class and visible UI for human-in-the-loop with 3 different levels of permissions.
Your agent finds, reads, and organizes the web for you, based on what you actually care about - not what a platform's algorithm thinks you care about.
Once your agent finds what it's looking for, it can organize bookmarked pages into custom folders with summaries for later browsing, take screenshots with highlighted text, and integrate with Obsidian for long-term browsing related-memory.
Check it out!
Hey Hugging Face!
It's been quiet from me over here for the last few weeks, but I've been busy building! I just submitted my project to the Hermes Agent Hackathon, and wanted to share it with all of you.
This is Vessel Browser - an AI-native web browser that runs locally on Linux, and is operated by your personal AI agent via MCP server. Vessel is built from the ground up around the agent as first-class and visible UI for human-in-the-loop with 3 different levels of permissions.
Your agent finds, reads, and organizes the web for you, based on what you actually care about - not what a platform's algorithm thinks you care about.
Once your agent finds what it's looking for, it can organize bookmarked pages into custom folders with summaries for later browsing, take screenshots with highlighted text, and integrate with Obsidian for long-term browsing related-memory.
Check it out!
- 2 replies
updated 2 models about 23 hours ago
liked a dataset 1 day ago
reacted to OzTianlu's post with 🤗 1 day ago
Post
5263
Arcade-3B — SmolReasoner
NoesisLab/Arcade-3B
Arcade-3B is a 3B instruction-following and reasoning model built on SmolLM3-3B. It is the public release from the ARCADE project at NoesisLab, which investigates the State–Constraint Orthogonality Hypothesis: standard Transformer hidden states conflate factual content and reasoning structure in the same subspace, and explicitly decoupling them improves generalization.
NoesisLab/Arcade-3B
Arcade-3B is a 3B instruction-following and reasoning model built on SmolLM3-3B. It is the public release from the ARCADE project at NoesisLab, which investigates the State–Constraint Orthogonality Hypothesis: standard Transformer hidden states conflate factual content and reasoning structure in the same subspace, and explicitly decoupling them improves generalization.
- 5 replies
updated a dataset 1 day ago
liked a dataset 1 day ago
published a dataset 1 day ago
updated a dataset 2 days ago
published a dataset 2 days ago
reacted to BibbyResearch's post with 🔥👍 2 days ago
Post
2471
We are working on the largest Dataset and Pre-trained model for Text to Speech and Speech to text for the low-resourced language called Marwari in India.