GGUF layer package for running gpt-oss-20b-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/gpt-oss-20b-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/gpt-oss-20b-GGUF |
| Model id | unsloth/gpt-oss-20b-GGUF:UD-Q4_K_XL |
| Family | gpt |
| Parameter scale | 20b |
| Quantization | UD-Q4_K_XL |
| Layer count | 24 |
| Activation width | 2880 |
| Package size | 11.4 GB |
| Source file | gpt-oss-20b-UD-Q4_K_XL.gguf |
| Package repo | meshllm/gpt-oss-20b-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/gpt-oss-20b-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/gpt-oss-20b-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/gpt-oss-20b-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/gpt-oss-20b-GGUF@main/gpt-oss-20b-UD-Q4_K_XL.gguf |
| Source revision | main |
| Source SHA-256 | 10fe673de12c20b74b8d670a9fdf0fd36b43b0a86ffc04daeb175c0a2b98c4f9 |
| Skippy ABI | 0.1.25 |
| Package manifest SHA-256 | 4740dc72a0cafff0be25da7a7c80624dad27392da02b9668df0214e9b61c5135 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 4740dc72a0cafff0be25da7a7c80624dad27392da02b9668df0214e9b61c5135 |
| Metadata | shared/metadata.gguf | 0 tensors, 12.4 MB | 480835ff41f925215ad8131164b87bac6a0e961ea0864980a21bddc4550d0454 |
| Embeddings | shared/embeddings.gguf | 1 tensors, 599.2 MB | 30d41b9c4d3827cdf4dd0779641db2689989b5052bf329f704f3ee4d884b7f86 |
| Output head | shared/output.gguf | 2 tensors, 599.2 MB | ddbd3aabab3f8fb37ffdb2c1bf77d4a8d380c1ff57719c05aa52edcc20983e7b |
| Transformer layers | layers/layer-*.gguf | 24 layer artifacts, 456 tensors, 10.2 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/gpt-oss-20b-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_gpt-oss-20b-UD-Q4_K_XL-layers-199/package"
Links
- Source model: unsloth/gpt-oss-20b-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