ertghiu256/Qwen3.5-2b-ReMix
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sequelbox
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open source, infinite games. (they/them)
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liked a model about 17 hours ago
ertghiu256/Qwen3.5-2b-ReMix updated a Space 4 days ago
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reacted to danielhanchen's post with 🚀 10 days ago
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We’re excited to announce that Unsloth has joined the PyTorch Ecosystem! 🔥🦥
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! 💕
Blog: https://unsloth.ai/blog/pytorch
GitHub: https://github.com/unslothai/unsloth
Unsloth is an open-source project that makes training & running models more accurate and faster with less compute. Our mission is to make local AI accessible to everyone. Thanks to all of you for making this possible! 💕
Blog: https://unsloth.ai/blog/pytorch
GitHub: https://github.com/unslothai/unsloth
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reacted to unmodeled-tyler's post with ❤️ 16 days ago
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Hey Hugging Face!
Repo: https://github.com/unmodeled-tyler/vessel-browser
I wanted to share a cool feature from my open source AI native web browser, Vessel: Persistent highlights!
You can highlight anything on the page and the context is provided to the agent. It's kind of a fun way to learn about new stuff, synthesize info, or just deepen your comprehension/understanding.
Since highlights are persistent, you can close the page, come back later - and your highlights will be exactly where you left them. I've found this particularly useful when reviewing technical blogs, model cards, etc.
Check it out!
Repo: https://github.com/unmodeled-tyler/vessel-browser
I wanted to share a cool feature from my open source AI native web browser, Vessel: Persistent highlights!
You can highlight anything on the page and the context is provided to the agent. It's kind of a fun way to learn about new stuff, synthesize info, or just deepen your comprehension/understanding.
Since highlights are persistent, you can close the page, come back later - and your highlights will be exactly where you left them. I've found this particularly useful when reviewing technical blogs, model cards, etc.
Check it out!
- 1 reply
liked 2
models 16 days ago
https://huggingface.co/sequelbox/Qwen3.6-27B-Tachibana-Agent
1
#2335 opened 17 days ago
by sequelbox
updated 2
collections 17 days ago
posted an update 17 days ago
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3662
JUST RELEASED: the Tachibana 4 DeepSeek-V4-Pro dataset and our all-new Tachibana-Agent coding model!
- Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics. Synthetic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability.
- Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more!
- A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more!
The new dataset: sequelbox/Tachibana4-DeepSeek-V4-Pro
The new model: sequelbox/Qwen3.6-27B-Tachibana-Agent
We're thrilled to bring this to everyone - try it out and see what you think!
Tachibana 4 is the first of several datasets used for the upcoming Esper 4! See what we're working on and help our releases come out faster: sequelbox/SupportOpenSource
Open source will win :)
love,
allegra
- Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics. Synthetic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability.
- Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more!
- A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more!
The new dataset: sequelbox/Tachibana4-DeepSeek-V4-Pro
The new model: sequelbox/Qwen3.6-27B-Tachibana-Agent
We're thrilled to bring this to everyone - try it out and see what you think!
Tachibana 4 is the first of several datasets used for the upcoming Esper 4! See what we're working on and help our releases come out faster: sequelbox/SupportOpenSource
Open source will win :)
love,
allegra
liked a
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