GLM-5.3-Flash-UD-Q4_K_XL

Distributed GGUF inference package for Mesh LLM

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	not recorded
Package size	0 B
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"

# 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	`gguf`
Canonical source ref	`unsloth/GLM-5.3-Flash-GGUF@621d456e93e926e4b52f85cff5f634358c1828f9/UD-Q4_K_XL/GLM-5.3-Flash-UD-Q4_K_XL-00001-of-00006.gguf`
Source revision	`621d456e93e926e4b52f85cff5f634358c1828f9`
Source SHA-256	`00dceaf3ed08781b1e44513a44ebb19e96248d01ba2a80b17f675a2b6fa9a1ee`
Skippy ABI	`not recorded`
Package manifest SHA-256	`a55bd9a19a6e28dea06ad76d4d4ab85b4a7d5b81d2a737e7ef7f68f69e465883`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`a55bd9a19a6e28dea06ad76d4d4ab85b4a7d5b81d2a737e7ef7f68f69e465883`

Validation

Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref f932c4d1dc12b3e3a670d5f470cedd5cdcc5db39. 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 "/hf-cache/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"