GLM-5.2-Q2_K-MTP-Q8-layers

lyssquant/GLM-5.2-Q2_K-MTP-Q8-layers

GLM-5.2-Q2_K-MTP-Q8-layers is a text generation model from lyssquant. Use it when you need the model to write or continue text. It is set up for mesh-llm.

<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

Downloads · 30 days

1.8K

36% of all-time downloads

All-time downloads

4.9K

Public

Repo size

280 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf280 GB · 100%

At a glance

Task: Text Generation
Library: mesh-llm
Access: Public
Created: Aug 9, 2026
Updated: Aug 9, 2026
SHA: 2cf2e5da

Try a prompt

Base models

meshllm/GLM-5.2-Q2_K-MTP-Q8-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-5.2-Q2_K-MTP-Q8</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-5.2-Q2_K-MTP-Q8 across a local Mesh LLM cluster.

This package is derived from meshllm/GLM-5.2-Q2_K-MTP-Q8-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	`Q2_K` layer package

Model Overview

Property	Value
Source model	meshllm/GLM-5.2-Q2_K-MTP-Q8-GGUF
Model id	`meshllm/GLM-5.2-Q2_K-MTP-Q8-GGUF:Q2_K-MTP-Q8`
Family	GLM
Parameter scale	not recorded
Quantization	`Q2_K`
Layer count	79
Activation width	6144
Package size	260.3 GB
Source file	`Q2_K-MTP-Q8/GLM-5.2-Q2_K-MTP-Q8-00001-of-00306.gguf`
Package repo	meshllm/GLM-5.2-Q2_K-MTP-Q8-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-5.2-Q2_K-MTP-Q8-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/GLM-5.2-Q2_K-MTP-Q8-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": "meshllm/GLM-5.2-Q2_K-MTP-Q8-GGUF:Q2_K-MTP-Q8",
    "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-5.2-Q2_K-MTP-Q8-GGUF@main/Q2_K-MTP-Q8/GLM-5.2-Q2_K-MTP-Q8-00001-of-00306.gguf`
Source revision	`main`
Source SHA-256	`6e1841a844cae68f434d7f699e1e974232a687e700ad7b26631d6880eb541b9a`
Skippy ABI	`0.1.27`
Package manifest SHA-256	`0df2893e5d1e553b9901c944d0ceae959ee69a949d8a2e69c645f8cae3d91257`

What Is Included

Artifact	Path	Contents	SHA-256
Manifest	`model-package.json`	Package schema, source identity, checksums	`0df2893e5d1e553b9901c944d0ceae959ee69a949d8a2e69c645f8cae3d91257`
Metadata	`shared/metadata.gguf`	0 tensors, 9.0 MB	`d239e9f5bb3151e29fa2f1f55c53eff16af5737e06afe541c6f24016d74bc8d6`
Embeddings	`shared/embeddings.gguf`	1 tensors, 973.2 MB	`f5694c010726da17a33d68e0bf91566b91f9ccc9bfc08da393faf4c6cfa545b2`
Output head	`shared/output.gguf`	2 tensors, 1.8 GB	`b2e3fb2597217dd42464a10c02ec9a866571b37ea61c59d59a9ac84e29db6e50`
Transformer layers	`layers/layer-*.gguf`	79 layer artifacts, 1521 tensors, 257.6 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.

skippy-model-package write-package "/source/Q2_K-MTP-Q8/GLM-5.2-Q2_K-MTP-Q8-00001-of-00306.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_GLM-5.2-Q2_K-MTP-Q8-layers-193/package"