Nanbeige/Nanbeige4.3-33B
text-generation model by Nanbeige
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Model card & documentation
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In Nanbeige4.3, we take a foundational step toward pushing the boundaries of lightweight agents. Our strategy centers on building a high-capacity teacher agent first, which will subsequently anchor the distillation of advanced agentic capabilities into smaller models. To this end, we first introduce Nanbeige4.3-33B, designed as the flagship teacher model for the Nanbeige4.3 series. Delivering state-of-the-art agentic performance among open models in the 30B parameter class, Nanbeige4.3-33B excels at complex coding and professional cowork tasks. It not only offers a powerful, cost-effective option for immediate real-world deployment, but also lays the necessary foundation to power our upcoming small model distillation pipeline (e.g., for Nanbeige4.3-3B). We compare Nanbeige4.3-33B with recently released frontier models at around the 30B-parameter scale: Qwen3.8-27B, Muse-Glimmer-30B, and Gemma4-31B. All models are evaluated at their highest thinking effort. For each benchmark, we use the same inference hyperparameters and harness across models. 1 Nanbeige4.3-33B is evaluated with preservethinking=true in…
Read the full model card ↗ · Preview checked 2026-10-31T04:22:08.960Z
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Model overview
Nanbeige/Nanbeige4.3-33B is a text-generation model repository published by Nanbeige on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 13,832
- Cumulative likes
- 921
- Hugging Face trending score
- 808
- Reported safetensors parameters
- 33,118,977,024
- Architecture
- LlamaForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-24T02:49:18.000Z
- Last modified
- 2026-10-28T01:59:01.000Z
Compatibility and lineage
Reported languages: en, zh
Reported base models: Nanbeige/Nanbeige4.3-33B-Base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-01T06:49:30.141Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.