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MODEL Listed

Xing4.0-29B-A4B-GGUF

Xing4.0-29B-A4B-GGUF is a 29B parameter text-generation model released by XingChen-AGI under the Apache 2.0 license. It's distributed in GGUF format, which means it's optimized for local inference and works well with llama.cpp and similar runtimes. For developers, this model offers a solid mix of performance and accessibility — it's large enough to handle complex reasoning and coding tasks, yet small enough to run on consumer-grade GPUs or even high-end CPUs when quantized. It's particularly useful for building local AI assistants, prototyping NLP applications, or running privacy-sensitive workloads without relying on external APIs. Compared to some heavier proprietary options, Xing4.0-29B is a good middle ground: not the absolute fastest or largest, but well-rounded and easy to integrate into existing toolchains that support GGUF.

XingChen-AGItext generation
01 / MODEL CARD

Model card

Xing4.0-29B-A4B-GGUF is a 29B parameter text-generation model released by XingChen-AGI under the Apache 2.0 license. It's distributed in GGUF format, which means it's optimized for local inference and works well with llama.cpp and similar runtimes. For developers, this model offers a solid mix of performance and accessibility — it's large enough to handle complex reasoning and coding tasks, yet small enough to run on consumer-grade GPUs or even high-end CPUs when quantized. It's particularly useful for building local AI assistants, prototyping NLP applications, or running privacy-sensitive workloads without relying on external APIs. Compared to some heavier proprietary options, Xing4.0-29B is a good middle ground: not the absolute fastest or largest, but well-rounded and easy to integrate into existing toolchains that support GGUF.

Model typetext generation
ProviderXingChen-AGI
Licenseapache-2.0
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/XingChen-AGI/Xing4.0-29B-A4B-GGUF
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: XingChen-AGI/Xing4.0-29B-A4B-GGUF
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model XingChen-AGI/Xing4.0-29B-A4B-GGUF
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model XingChen-AGI/Xing4.0-29B-A4B-GGUF README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('XingChen-AGI/Xing4.0-29B-A4B-GGUF')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/XingChen-AGI/Xing4.0-29B-A4B-GGUF.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/XingChen-AGI/Xing4.0-29B-A4B-GGUF.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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