GGUF layer package for running gemma-3-27b-it-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/gemma-3-27b-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-3-27b-it-GGUF |
| Model id | unsloth/gemma-3-27b-it-GGUF:UD-Q4_K_XL |
| Family | Gemma |
| Parameter scale | 27b |
| Quantization | UD-Q4_K_XL |
| Layer count | 62 |
| Activation width | 5376 |
| Package size | 16.1 GB |
| Source file | gemma-3-27b-it-UD-Q4_K_XL.gguf |
| Package repo | meshllm/gemma-3-27b-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-3-27b-it-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gemma-3-27b-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-3-27b-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-3-27b-it-GGUF@main/gemma-3-27b-it-UD-Q4_K_XL.gguf |
| Source revision | main |
| Source SHA-256 | 4ad994103fd28aa7e854a3cf1f14f15499da67446fde45feeb3db4d755db2886 |
| Skippy ABI | 0.1.24 |
| Package manifest SHA-256 | 088c09d19d411d38223fa9330abed0341c84fc45a1863869c210a741ac9503e6 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 088c09d19d411d38223fa9330abed0341c84fc45a1863869c210a741ac9503e6 |
| Metadata | shared/metadata.gguf | 0 tensors, 6.2 MB | d73a11ddd2c97e18e5b9b87eca5561488b118bd97383227564b40ce92fff43fa |
| Embeddings | shared/embeddings.gguf | 1 tensors, 1.1 GB | 358f178cd59174938189ffd36495ef5dd8560c4494c39c909e12006f185e6694 |
| Output head | shared/output.gguf | 1 tensors, 6.2 MB | ffbff69a7a83bfff40c76d5f664347f242f7a382321d703a168c7bdaee5be373 |
| Transformer layers | layers/layer-*.gguf | 62 layer artifacts, 806 tensors, 15.0 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-3-27b-it-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_gemma-3-27b-it-UD-Q4_K_XL-layers-199/package"
Links
- Source model: unsloth/gemma-3-27b-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