GGUF layer package for running gemma-4-31B-it-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/gemma-4-31B-it-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/gemma-4-31B-it-GGUF |
| Model id | unsloth/gemma-4-31B-it-GGUF:UD-Q4_K_XL |
| Family | Gemma |
| Parameter scale | 31B |
| Quantization | UD-Q4_K_XL |
| Layer count | 60 |
| Activation width | 5376 |
| Package size | 18.4 GB |
| Source file | gemma-4-31B-it-UD-Q4_K_XL.gguf |
| Package repo | meshllm/gemma-4-31B-it-UD-Q4_K_XL-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: unsloth/gemma-4-31B-it-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gemma-4-31B-it-UD-Q4_K_XL-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": "unsloth/gemma-4-31B-it-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 | layer-package |
| Canonical source ref | unsloth/gemma-4-31B-it-GGUF@main/gemma-4-31B-it-UD-Q4_K_XL.gguf |
| Source revision | main |
| Source SHA-256 | dd69c1566b0d559f303424e2b00e830837bb6c8b25e5baa08c75f11709bd41db |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 7a796307aba9e91653c3f3ea8b5309106b52bd86b6cd0264ed324b8d30b159b5 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 7a796307aba9e91653c3f3ea8b5309106b52bd86b6cd0264ed324b8d30b159b5 |
| Metadata | shared/metadata.gguf | 1 tensors, 15.1 MB | 37e07678a83b7883582da4e9c4f1f206f0e6b183308a4065023b9205ab607a7e |
| Embeddings | shared/embeddings.gguf | 2 tensors, 939.1 MB | 4200bc676a7a75e12716cbbbbb9089d99d01e58e33735e29b9fbd3291c5d1ab5 |
| Output head | shared/output.gguf | 2 tensors, 15.1 MB | c79c3dbfc31a55162b379fd4e7f8df6695ed19c1d368cc71be2ebc0039b68f6f |
| Transformer layers | layers/layer-*.gguf | 60 layer artifacts, 890 tensors, 17.5 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/gemma-4-31B-it-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_gemma-4-31B-it-UD-Q4_K_XL-layers-199/package"
Links
- Source model: unsloth/gemma-4-31B-it-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