Anyone tried Nanbeige4.3-33B?
Summary
A community discussion asking for real-world user experiences with Nanbeige4.3-33B, a 33B parameter open model featuring a 512K context window and strong benchmark results in reasoning, coding, and agentic tasks, despite concerns about high KV cache memory usage.
Similar Articles
Nanbeige releases Nanbeige4.3-33B, an Apache 2.0 teacher model for smaller agents [N]
Nanbeige released Nanbeige4.3-33B, an Apache 2.0 teacher model with a 512K context window intended to train smaller agent models like an upcoming 3B variant, reporting strong Terminal-Bench 2.1 results but mixed performance on SWE-Bench Pro.
Nanbeige/Nanbeige4.2-3B
Nanbeige4.2-3B is a compact agentic model using Looped Transformer architecture, demonstrating strong performance on agentic and reasoning benchmarks at the 3B scale, outperforming larger models such as Qwen3.5-9B and Gemma4-12B.
@xdotli: ICYMI Nanbeige 4.1, a 3b model released by Chinese Indeed, outperforms Qwen3-30b-A3b + Qwen 3.5 4b. It can finish long …
Nanbeige 4.1, a 3B model from Chinese Indeed, outperforms larger Qwen models on tasks requiring 600+ tool calls.
Nanbeige/Nanbeige4.3-33B
Nanbeige4.3-33B 是南ベージ系列的旗舰教师模型,宣称在约30B参数级别的开源模型中达到最先进水平,专注于复杂编码与专业协作智能体任务,并为后续小模型蒸馏(如 Nanbeige4.3-3B)奠定基础。
Nanbeige4.2-3B on Apple Silicon: Fixing Deployment Bugs and Decreasing Looped Transformer Memory Overhead
This paper addresses deployment bugs in the Nanbeige4.2-3B Looped Transformer model on Apple Silicon and introduces a memory-efficient chunked-prefill strategy to enable agentic tasks.