---
library_name: mesh-llm
base_model:
- "meshllm/GLM-5.1-UD-Q3_K_S-GGUF"
pipeline_tag: text-generation
tags:
- gguf
- mesh-llm
- layer-package
- skippy
- distributed-inference
- local-inference
- openai-compatible
---

<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-5.1-UD-Q3_K_S</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-5.1-UD-Q3_K_S** across a local Mesh LLM cluster.

This package is derived from [meshllm/GLM-5.1-UD-Q3_K_S-GGUF](https://huggingface.co/meshllm/GLM-5.1-UD-Q3_K_S-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-Q3_K_S` layer package |

## Model Overview

| Property | Value |
|---|---|
| **Source model** | [meshllm/GLM-5.1-UD-Q3_K_S-GGUF](https://huggingface.co/meshllm/GLM-5.1-UD-Q3_K_S-GGUF) |
| **Model id** | `meshllm/GLM-5.1-UD-Q3_K_S-GGUF:UD-Q3_K_S` |
| **Family** | GLM |
| **Parameter scale** | not recorded |
| **Quantization** | `UD-Q3_K_S` |
| **Layer count** | 79 |
| **Activation width** | 6144 |
| **Package size** | 337.4 GB |
| **Source file** | `UD-Q3_K_S/GLM-5.1-UD-Q3_K_S-00001-of-00306.gguf` |
| **Package repo** | [meshllm/GLM-5.1-UD-Q3_K_S-layers](https://huggingface.co/meshllm/GLM-5.1-UD-Q3_K_S-layers) |

## 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: [meshllm/GLM-5.1-UD-Q3_K_S-GGUF](https://huggingface.co/meshllm/GLM-5.1-UD-Q3_K_S-GGUF).

## Quickstart

```bash
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/GLM-5.1-UD-Q3_K_S-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": "meshllm/GLM-5.1-UD-Q3_K_S-GGUF:UD-Q3_K_S",
    "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** | `meshllm/GLM-5.1-UD-Q3_K_S-GGUF@main/UD-Q3_K_S/GLM-5.1-UD-Q3_K_S-00001-of-00306.gguf` |
| **Source revision** | `main` |
| **Source SHA-256** | `085cc9d78b83eaec1d556c6644e840c9e4e6eb4d370560f1e151fae873f2edee` |
| **Skippy ABI** | `0.1.26` |
| **Package manifest SHA-256** | `81d6e34fcaa61d6e11167c8d97e38dd18297678723041f717a08f3ce8002d51b` |

## What Is Included

| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | `model-package.json` | Package schema, source identity, checksums | `81d6e34fcaa61d6e11167c8d97e38dd18297678723041f717a08f3ce8002d51b` |
| Metadata | `shared/metadata.gguf` | 0 tensors, 9.0 MB | `4427c9262ed6ed540b4b6b7541b41276f3fa7940d8d497bcfe1d91a39dd08d06` |
| Embeddings | `shared/embeddings.gguf` | 1 tensors, 973.2 MB | `34b4d137908e325df2e6e0688f35b7a96b61dcfada4c1fc2514b5f9d55a2d3e4` |
| Output head | `shared/output.gguf` | 2 tensors, 1.8 GB | `1724fa1fec4c64aa89a29fba88c2231133db9ff21f90ba4008a07cebdc451844` |
| Transformer layers | `layers/layer-*.gguf` | 79 layer artifacts, 1806 tensors, 334.7 GB | `see model-package.json` |

## 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-Q3_K_S/GLM-5.1-UD-Q3_K_S-00001-of-00306.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_GLM-5.1-UD-Q3_K_S-layers-200/package"
```

## Links

- Source model: [meshllm/GLM-5.1-UD-Q3_K_S-GGUF](https://huggingface.co/meshllm/GLM-5.1-UD-Q3_K_S-GGUF)
- Mesh LLM website: [meshllm.cloud](https://www.meshllm.cloud)
- Mesh LLM: [github.com/Mesh-LLM/mesh-llm](https://github.com/Mesh-LLM/mesh-llm)
- Discord: [discord.gg/rs6fmc63eN](https://discord.gg/rs6fmc63eN)
- Package catalog: [meshllm/catalog](https://huggingface.co/datasets/meshllm/catalog)
- Package format: [layer-package-repos.md](https://github.com/Mesh-LLM/mesh-llm/blob/main/docs/specs/layer-package-repos.md)