Nanbeige releases Nanbeige4.3-33B open 33B agentic coding model
Apache 2.0 weights ship with a 524,288-token context and a base checkpoint; the lab says it leads 17 of 20 self-run benchmarks.
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Apache 2.0 weights ship with a 524,288-token context and a base checkpoint; the lab says it leads 17 of 20 self-run benchmarks.
The Apache 2.0 model takes images, runs at about 4-bit on one GPU, and claims to beat same-size peers.
KAIST and Naver AI Lab researchers show LLM reasoning steps like extraction and computation map to distinct activation patterns, strongest in middle layers.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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