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README.md

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----
-license: apache-2.0
----
+---
+library_name: transformers
+license: apache-2.0
+license_link: https://huggingface.co/Qwen/Qwen3-Coder-Next-Base/blob/main/LICENSE
+pipeline_tag: text-generation
+---
+
+# Qwen3-Coder-Next-Base
+<a href="https://chat.qwen.ai/" target="_blank" style="margin: 2px;">
+  <img alt="Chat" src="https://img.shields.io/badge/%F0%9F%92%9C%EF%B8%8F%20Qwen%20Chat%20-536af5" style="display: inline-block; vertical-align: middle;"/>
+</a>
+
+## Highlights
+
+Today, we're announcing **Qwen3-Coder-Next-Base**, an open-weight language model designed specifically for coding agents and local development. It features the following key enhancements:  
+
+- **Advanced architecture**: It integrates the Hybrid Attention with highly sparse MoE, enabling high throughput and strong ultra-long-context modeling.
+
+- **Robust data foundation**: Trained on highly diverse, broad-coverage corpora, with native 256K context and support for 370+ languages, it leaves ample headroom for post-training.
+
+- **Agentic coding capability**: With a carefully designed training recipe, it has strong capabilities in tool calling, scaffold/template adaptation, and error detection/recovery, making it a strong backbone for reliable coding agents.
+
+## Model Overview
+
+**Qwen3-Coder-Next-Base** has the following features:
+- Type: Causal Language Models
+- Training Stage: Pretraining
+- Number of Parameters: 80B in total and 3B activated
+- Number of Parameters (Non-Embedding): 79B
+- Hidden Dimension: 2048
+- Number of Layers: 48
+  - Hybrid Layout: 12 \* (3 \* (Gated DeltaNet -> MoE) -> 1 \* (Gated Attention -> MoE))
+- Gated Attention:
+  - Number of Attention Heads: 16 for Q and 2 for KV
+  - Head Dimension: 256
+  - Rotary Position Embedding Dimension: 64
+- Gated DeltaNet:
+  - Number of Linear Attention Heads: 32 for V and 16 for QK
+  - Head Dimension: 128
+- Mixture of Experts:
+  - Number of Experts: 512
+  - Number of Activated Experts: 10
+  - Number of Shared Experts: 1
+  - Expert Intermediate Dimension: 512
+- Context Length: 262,144 natively
+
+**NOTE: This model supports only non-thinking mode and does not generate ``<think></think>`` blocks in its output. Meanwhile, specifying `enable_thinking=False` is no longer required.**
+
+For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our [blog](https://qwenlm.github.io/blog/qwen3-coder-next/), [GitHub](https://github.com/QwenLM/Qwen3-Coder), and [Documentation](https://qwen.readthedocs.io/en/latest/).
+
+## Best Practices
+
+To achieve optimal performance, we recommend the following sampling parameters: `temperature=1.0`, `top_p=0.95`, `top_k=40`.
+
+
+## Citation
+
+If you find our work helpful, feel free to give us a cite.
+
+```
+@misc{qwen3codernexttechnicalreport,
+      title={Qwen3-Coder-Next Technical Report}, 
+      author={Qwen Team},
+      year={2026},
+      eprint={},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/}, 
+}
+```