GGUF layer package for running Laguna-S-2.1-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/Laguna-S-2.1-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/Laguna-S-2.1-GGUF |
| Model id | unsloth/Laguna-S-2.1-GGUF:UD-Q4_K_XL |
| Family | Laguna |
| Parameter scale | not recorded |
| Quantization | UD-Q4_K_XL |
| Layer count | 48 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | UD-Q4_K_XL/Laguna-S-2.1-UD-Q4_K_XL-00001-of-00003.gguf |
| Package repo | meshllm/Laguna-S-2.1-UD-Q4_K_XL-layers |
| License | openmdw-1.1 from unsloth/Laguna-S-2.1-GGUF |
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/Laguna-S-2.1-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/Laguna-S-2.1-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/Laguna-S-2.1-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 | gguf |
| Canonical source ref | unsloth/Laguna-S-2.1-GGUF@750f92f90cf54159c4d7a610cb7b3e74498e75c6/UD-Q4_K_XL/Laguna-S-2.1-UD-Q4_K_XL-00001-of-00003.gguf |
| Source revision | 750f92f90cf54159c4d7a610cb7b3e74498e75c6 |
| Source SHA-256 | 0cfaf46917260d253773e5e2fab64329fa5c9c60fdf0db0f59f31205b5f5dd32 |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | cb35425bd6f123ca556ea294e0d451e98db55baa7e780063583cfaaad984fa48 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | cb35425bd6f123ca556ea294e0d451e98db55baa7e780063583cfaaad984fa48 |
Validation
Generated by the Mesh LLM HF Jobs splitter from mesh-llm ref f932c4d1dc12b3e3a670d5f470cedd5cdcc5db39.
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 "/hf-cache/UD-Q4_K_XL/Laguna-S-2.1-UD-Q4_K_XL-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Laguna-S-2.1-UD-Q4_K_XL-layers-1/package"
Links
- Source model: unsloth/Laguna-S-2.1-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