GLM-5.3-Flash-UD-Q4_K_XL-layers

lausannequants/GLM-5.3-Flash-UD-Q4_K_XL-layers

GLM-5.3-Flash-UD-Q4_K_XL-layers is a text generation model from lausannequants. Use it when you need the model to write or continue text. It is set up for mesh-llm. The card lists the license as mit.

<div align="center" <a href="https://www.meshllm.cloud" <img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220" </a

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Repo size

202 GB

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Hugging Face

Repo makeup

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.gguf202 GB · 100%

At a glance

Task: Text Generation
Library: mesh-llm
License: mit
Access: Public
Created: Sep 2, 2026
Updated: Sep 2, 2026
SHA: dae7911b

Try a prompt

Base models

unsloth/GLM-5.3-Flash-GGUF

Model card

From the Hugging Face model README

<div align="center"> <a href="https://www.meshllm.cloud"> <img src="https://meshllm.cloud/assets/images/jelly-logo-wordmark.png" alt="Mesh LLM" width="220"> </a> <h1>GLM-5.3-Flash-UD-Q4_K_XL</h1> <p> <strong>Distributed GGUF inference package for Mesh LLM</strong> </p> <p> <a href="https://www.meshllm.cloud"><img alt="Website" src="https://img.shields.io/badge/Website-meshllm.cloud-111111?style=for-the-badge"></a> <a href="https://github.com/Mesh-LLM/mesh-llm"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Mesh--LLM-24292f?style=for-the-badge&logo=github"></a> <a href="https://discord.gg/rs6fmc63eN"><img alt="Discord" src="https://img.shields.io/badge/Discord-Join-5865F2?style=for-the-badge&logo=discord&logoColor=white"></a> </p> </div>

GGUF layer package for running GLM-5.3-Flash-UD-Q4_K_XL across a local Mesh LLM cluster.

This package is derived from unsloth/GLM-5.3-Flash-GGUF and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.

Highlights

Run locally	Pool multiple machines	OpenAI-compatible	Package variant
Private inference on your hardware	Split layers across peers	Serve `/v1/chat/completions` locally	`UD-Q4_K_XL` layer package

Model Overview

Property	Value
Source model	unsloth/GLM-5.3-Flash-GGUF
Model id	`unsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL`
Family	GLM
Parameter scale	not recorded
Quantization	`UD-Q4_K_XL`
Layer count	46
Activation width	4096
Package size	188.5 GB
Source file	`UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf`
Package repo	meshllm/GLM-5.3-Flash-UD-Q4_K_XL-layers
License	`mit` from unsloth/GLM-5.3-Flash-GGUF

Recommended Use

Local and private inference with Mesh LLM.
Multi-machine serving when the full GGUF is too large for one host.
OpenAI-compatible chat/completions workflows through Mesh LLM's local API.

For upstream architecture details, chat template guidance, sampling recommendations, license terms, and benchmark notes, see the source model card: unsloth/GLM-5.3-Flash-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/GLM-5.3-Flash-UD-Q4_K_XL-layers" --split

# Check the mesh and discover the OpenAI-compatible model name.
curl -s http://localhost:3131/api/status
curl -s http://localhost:3131/v1/models

# Send an OpenAI-compatible chat request.
curl -s http://localhost:3131/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "unsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

Property	Value
Format	`layer-package`
Canonical source ref	`unsloth/GLM-5.3-Flash-GGUF@ac47690c15c8703615ab7d9c1ef2293d45372757/UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf`
Source revision	`ac47690c15c8703615ab7d9c1ef2293d45372757`
Source SHA-256	`00dceaf3ed08781b1e44513a44ebb19e96248d01ba2a80b17f675a2b6fa9a1ee`
Skippy ABI	`0.1.41`
Package manifest SHA-256	`cebbc901c8daff5c0d0441a8c7f55edeb7a89dcb7d376df11f027b8f348689da`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`cebbc901c8daff5c0d0441a8c7f55edeb7a89dcb7d376df11f027b8f348689da`
Metadata	`shared/metadata.gguf`	0 tensors, 9.0 MB	`2d018f5aa91734df4e3e9b7ddaf0449647e60db9c56c621dc7e625f837ca12e1`
Embeddings	`shared/embeddings.gguf`	1 tensors, 651.8 MB	`7d77ffbcd93b2f2ca6647ef2fafdd9ca981b447684dd95db73d0722c339022b0`
Output head	`shared/output.gguf`	2 tensors, 651.8 MB	`21567a02805f462921bf76c47af2f3a3838cf7cedda16ab5449d077de421f57a`
Transformer layers	`layers/layer-*.gguf`	46 layer artifacts, 1409 tensors, 185.1 GB	`see model-package.json`
Projector	`projectors/mmproj-BF16.gguf`	mmproj projector, 1.1 GB	`513c9bfc55898998186543caefc01626fb28e378b92f391018e1c3dd6655b113`
Projector	`projectors/mmproj-F16.gguf`	mmproj projector, 1.1 GB	`96ccc182997646ad4405385a1987b1ac1e6adccd2669de43c3ea39692699ed27`

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref main. Each artifact is checksummed as it is written, uploaded to this repository, and removed from the job workspace before the next artifact is produced.

skippy-model-package write-package "/source/UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_GLM-5.3-Flash-UD-Q4_K_XL-layers-1/package"