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RunningTab: direct workspace interaction with file tabs for AI agents

Use cases
Source:Hugging Face
A new Hugging Face paper proposes that LLM agents work directly on workspace files through dedicated tabs, with no indexing: the agent searches and reads documents from a terminal and produces deliverables from multiple files in one flow.
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Bonsai-2 27B

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27B reasoning model with ternary weights at 1.72 bits per weight, derived from Qwen3.8-27B with hybrid attention (~75% linear). In GGUF PTQ1_0 it takes 5.95 GB, retains 98.2% of the FP16 intelligence and reaches ~47 tok/s on an Apple M5 Max laptop, with a 262K-token context. Apache 2.0 license. Requires Prism ML's llama.cpp fork (ternary kernels are not in stock llama.cpp).

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DeepSeek V4.1 Flash

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