mudler / Qwen3-Coder-Next-APEX-GGUF

huggingface.co
Total runs: 4.8K
24-hour runs: 74
7-day runs: 227
30-day runs: -1.5K
Model's Last Updated: August 17 2026

Introduction of Qwen3-Coder-Next-APEX-GGUF

Model Details of Qwen3-Coder-Next-APEX-GGUF

Qwen3-Coder-Next APEX GGUF

APEX (Adaptive Precision for EXpert Models) quantizations of Qwen3-Coder-Next .

Brought to you by the LocalAI team | APEX Project | Technical Report

Benchmark Results

Benchmarks coming soon. For reference APEX benchmarks on the Qwen3.5-35B-A3B architecture, see mudler/Qwen3.5-35B-A3B-APEX-GGUF .

What is APEX?

APEX is a quantization strategy for Mixture-of-Experts (MoE) models. It classifies tensors by role (routed expert, shared expert, attention) and applies a layer-wise precision gradient -- edge layers get higher precision, middle layers get more aggressive compression. I-variants use diverse imatrix calibration (chat, code, reasoning, tool-calling, agentic traces, Wikipedia).

See the APEX project for full details, technical report, and scripts.

Architecture
  • Model : Qwen3-Coder-Next (Qwen3Next)
  • Layers : 48
  • Experts : 512 routed + shared (10 active per token)
  • Total Parameters : ~80B
  • Active Parameters : ~8-10B per token
  • Attention : Hybrid (standard every 4th layer + linear attention)
  • Context : 262K tokens
  • APEX Config : 5+5 symmetric edge gradient across 48 layers
  • Calibration : v1.3 diverse dataset (chat, code, reasoning, multilingual, tool-calling, Wikipedia)
Run with LocalAI
local-ai run mudler/[email protected]
Credits

APEX is brought to you by the LocalAI team. Developed through human-driven, AI-assisted research. Built on llama.cpp .

Runs of mudler Qwen3-Coder-Next-APEX-GGUF on huggingface.co

4.8K
Total runs
74
24-hour runs
202
3-day runs
227
7-day runs
-1.5K
30-day runs

More Information About Qwen3-Coder-Next-APEX-GGUF huggingface.co Model

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Qwen3-Coder-Next-APEX-GGUF install

Qwen3-Coder-Next-APEX-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Qwen3-Coder-Next-APEX-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Qwen3-Coder-Next-APEX-GGUF install, users can directly use Qwen3-Coder-Next-APEX-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Qwen3-Coder-Next-APEX-GGUF install url in huggingface.co:

https://huggingface.co/mudler/Qwen3-Coder-Next-APEX-GGUF

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Updated:June 22 2026