---

language:

• en

license: apache-2.0

base_model: Qwen/Qwen3-Next-80B-A3B-Instruct

library_name: llama.cpp

pipeline_tag: text-generation

tags:

• qwen
• qwen3-next
• 80b
• moe
• gguf
• q6_k
• quantized
• local-ai
• llama.cpp

---

Qwen3-Next 80B A3B - Q6_K GGUF

A Q6_K quantized GGUF release of Qwen3-Next 80B,

prepared for local inference and self-hosted AI applications.

Published by oscarwest1.

Model Details

| Property | Value |

|---|---|

| Developer | Qwen Team |

| Original Model | Qwen3-Next-80B-A3B-Instruct |

| Total Parameters | 80 Billion |

| Active Parameters | Approximately 3 Billion |

| Architecture | Mixture of Experts (MoE) |

| Quantization | Q6_K |

| Format | GGUF |

| Runtime | llama.cpp |

| Publisher | oscarwest1 |

| License | Apache 2.0 |

About This Release

This repository provides a Q6_K quantized GGUF

version of the Qwen3-Next 80B model.

Q6_K is a 6-bit-class quantization format designed

to reduce memory requirements while maintaining

relatively high numerical precision.

Quantization is lossy and may introduce differences

compared with the original full-precision model.

No additional fine-tuning is claimed for this release.

Model Architecture

Qwen3-Next 80B A3B uses a Mixture-of-Experts architecture.

The model contains approximately 80 billion total

parameters, with approximately 3 billion activated

per token.

The upstream architecture combines efficient

attention mechanisms with sparse expert activation.

This allows a large overall model capacity while

reducing the computational workload per token.

Intended Applications

• Advanced language understanding
• Programming and code generation
• Technical troubleshooting
• IT infrastructure assistance
• Research and experimentation
• Long-context document processing
• Local AI assistants
• Self-hosted inference

Local Inference

Interactive Chat

llama-cli -m qwen3-next-80b-Q6_K.gguf -c 32768 -cnv

Local API Server

llama-server -m qwen3-next-80b-Q6_K.gguf --host 127.0.0.1 --port 8080 -c 32768

Use a llama.cpp version compatible with Qwen3-Next.

Quantization Information

• Model format: GGUF
• Quantization: Q6_K
• Inference runtime: llama.cpp
• Fine-tuning: Not claimed
• Independent benchmarks: Not provided

Actual performance depends on the CPU, GPU,

memory bandwidth, runtime and context settings.

Original Model and Credits

Original model developed by the Qwen Team.

https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct

GGUF tooling:

https://github.com/ggml-org/llama.cpp

This is an independently published quantized release

and is not an official Qwen distribution.

License

Apache License 2.0.

Please refer to the upstream model repository

for applicable license and attribution requirements.

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