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

sourceHugging Facemitupdated 25d agoView on Hugging Face
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Model Card

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<h1>GLM-5.3-Flash-UD-Q4KXL</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 locallyPool multiple machinesOpenAI-compatiblePackage variant
Private inference on your hardwareSplit layers across peersServe /v1/chat/completions locallyUD-Q4_K_XL layer package

Model Overview

PropertyValue
Source modelunsloth/GLM-5.3-Flash-GGUF
Model idunsloth/GLM-5.3-Flash-GGUF:UD-Q4_K_XL
FamilyGLM
Parameter scalenot recorded
QuantizationUD-Q4_K_XL
Layer count46
Activation width4096
Package size188.5 GB
Source fileUD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf
Package repomeshllm/GLM-5.3-Flash-UD-Q4_K_XL-layers
Licensemit 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

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

PropertyValue
Formatlayer-package
Canonical source refunsloth/GLM-5.3-Flash-GGUF@ac47690c15c8703615ab7d9c1ef2293d45372757/UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf
Source revisionac47690c15c8703615ab7d9c1ef2293d45372757
Source SHA-25600dceaf3ed08781b1e44513a44ebb19e96248d01ba2a80b17f675a2b6fa9a1ee
Skippy ABI0.1.41
Package manifest SHA-256cebbc901c8daff5c0d0441a8c7f55edeb7a89dcb7d376df11f027b8f348689da

What Is Included

ArtifactPathContentsSHA-256
Manifestmodel-package.jsonPackage schema, source identity, checksumscebbc901c8daff5c0d0441a8c7f55edeb7a89dcb7d376df11f027b8f348689da
Metadatashared/metadata.gguf0 tensors, 9.0 MB2d018f5aa91734df4e3e9b7ddaf0449647e60db9c56c621dc7e625f837ca12e1
Embeddingsshared/embeddings.gguf1 tensors, 651.8 MB7d77ffbcd93b2f2ca6647ef2fafdd9ca981b447684dd95db73d0722c339022b0
Output headshared/output.gguf2 tensors, 651.8 MB21567a02805f462921bf76c47af2f3a3838cf7cedda16ab5449d077de421f57a
Transformer layerslayers/layer-*.gguf46 layer artifacts, 1409 tensors, 185.1 GBsee model-package.json
Projectorprojectors/mmproj-BF16.ggufmmproj projector, 1.1 GB513c9bfc55898998186543caefc01626fb28e378b92f391018e1c3dd6655b113
Projectorprojectors/mmproj-F16.ggufmmproj projector, 1.1 GB96ccc182997646ad4405385a1987b1ac1e6adccd2669de43c3ea39692699ed27

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.

bash
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"

Links