Jackrong 发布 Qwopus3.6-35B-A3B-Coder 模型的 GGUF 量化版本
英文摘要
Jackrong has uploaded a GGUF quantized model file for Qwopus3.6-35B-A3B-Coder on Hugging Face. The base model is a multimodal mixture-of-experts model based on Qwen3.6, designed for coding, tool-use, and function calling, supporting an image-text-to-text pipeline. This GGUF version enables efficient local inference with llama.cpp. The repository is released under the Apache 2.0 license. At the time of posting, the file had 62 likes and 0 downloads, with no performance benchmarks provided.
中文摘要
Jackrong 在 Hugging Face 上传了 Qwopus3.6-35B-A3B-Coder 模型的 GGUF 量化文件。该基础模型是基於 Qwen3.6 的多模态混合专家模型，专为编码、工具调用和函数调用设计，支持图像-文本到文本的流水线。此 GGUF 版本可使用 llama.cpp 进行高效本地推理。仓库采用 Apache 2.0 许可证发布。发布时该文件获 62 个点赞和 0 次下载，未提供性能基准测试。
关键要点
A GGUF quantization of the Qwopus3.6-35B-A3B-Coder multimodal MoE model has been released on Hugging Face.
Qwopus3.6-35B-A3B-Coder 多模态混合专家模型的 GGUF 量化版本已在 Hugging Face 发布。
The model is designed for coding, agent tool-use, and function calling, supporting image-text-to-text input.
该模型专为编码、智能体工具调用和函数调用设计，支持图像-文本到文本输入。
The GGUF format allows local inference via llama.cpp; the license is Apache 2.0.
GGUF 格式可通过 llama.cpp 进行本地推理；许可证为 Apache 2.0。