# Nanbeige4.3-33B GGUF offers quantized local inference for coding and reasoning

> Original title: Nanbeige4.3-33B GGUF: a 33B open-weight dense model for coding, tool use, and complex reasoning, with quantized weights for local inference.

- Source: ModelScope
- Published: 2026-10-29T07:37:16.000Z
- Bad Influence: https://badinfluence.news/items/nxp4zz0coqmzubyi8cwfqctn4
- Original: https://x.com/ModelScope2022/status/2115709539735806456

## Summary

ModelScope introduces Nanbeige4.3-33B GGUF, a 33B open-weight dense model with quantized weights for local inference. The base model supports up to 512K tokens, with usable local context depending on runtime settings and memory, and the post says it targets repository refactoring, terminal tasks, and multi-step agent workflows. Q4_K_M, Q5_K_M, Q6_K, and Q8_0 options are available under Apache 2.0, with llama.cpp and Ollama setup examples.

## Post

Nanbeige4.3-33B GGUF: a 33B open-weight dense model for coding, tool use, and complex reasoning, with quantized weights for local inference.
🤖 https://modelscope.ai/models/Solstice-AI/Nanbeige4.3-33B-GGUF-UltraOptimised-Curated-Protium

🧠 Long-context reasoning: The base model supports up to 512K tokens; usable local context depends on runtime settings and memory.

🛠️ Coding and automation: Built for repository refactoring, terminal tasks, and multi-step agent workflows.

🎛️ Flexible deployment: Q4_K_M, Q5_K_M, Q6_K, and Q8_0 options, with llama.cpp and Ollama setup examples.

📜 Apache 2.0.