GGUF layer package for running GLM-5.1-Q3_K_M-plus across a local Mesh LLM cluster.
This package is derived from meshllm/GLM-5.1-Q3_K_M-plus-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 | Q3_K_M layer package |
Model Overview
| Property | Value |
|---|---|
| Source model | meshllm/GLM-5.1-Q3_K_M-plus-GGUF |
| Model id | meshllm/GLM-5.1-Q3_K_M-plus-GGUF:Q3_K_M-plus |
| Family | GLM |
| Parameter scale | not recorded |
| Quantization | Q3_K_M |
| Layer count | 79 |
| Activation width | 6144 |
| Package size | 337.4 GB |
| Source file | Q3_K_M-plus/GLM-5.1-Q3_K_M-plus-00001-of-00306.gguf |
| Package repo | meshllm/GLM-5.1-Q3_K_M-plus-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-Q3_K_M-plus-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/GLM-5.1-Q3_K_M-plus-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-5.1-Q3_K_M-plus-GGUF:Q3_K_M-plus",
"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-Q3_K_M-plus-GGUF@main/Q3_K_M-plus/GLM-5.1-Q3_K_M-plus-00001-of-00306.gguf |
| Source revision | main |
| Source SHA-256 | 59ce669a82d214395b052ddf1595cd7ecf65784884cdf3a8e70b90954b53ca1e |
| Skippy ABI | 0.1.27 |
| Package manifest SHA-256 | d4b28e3e2c4bb3710dd29b044d9aa9d6658542e9c965ecc2c186e047c8a015e4 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | d4b28e3e2c4bb3710dd29b044d9aa9d6658542e9c965ecc2c186e047c8a015e4 |
| Metadata | shared/metadata.gguf | 0 tensors, 9.0 MB | 23fb542af787ac627f9a8956e3382fdba84b937f2152310aadc91c043f1e894a |
| Embeddings | shared/embeddings.gguf | 1 tensors, 973.2 MB | 8e311ad51204360c8be08eb06329cd86414ee0c8e38e2b70d7748b134734de68 |
| Output head | shared/output.gguf | 2 tensors, 1.8 GB | 91ace2947190cfcbdb3150524983bdc4a0db038cab95ce32416f3ca7b45e7b10 |
| 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 79f6bc603c74d9335087fa08f06d14d21fa99f33.
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/Q3_K_M-plus/GLM-5.1-Q3_K_M-plus-00001-of-00306.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_GLM-5.1-Q3_K_M-plus-layers-199/package"
Links
- Source model: meshllm/GLM-5.1-Q3_K_M-plus-GGUF
- Mesh LLM website: meshllm.cloud
- Mesh LLM: github.com/Mesh-LLM/mesh-llm
- Discord: discord.gg/rs6fmc63eN
- Package catalog: meshllm/catalog
- Package format: layer-package-repos.md