--- library_name: mesh-llm base_model: - "unsloth/gpt-oss-20b-GGUF" pipeline_tag: text-generation tags: - gguf - mesh-llm - layer-package - skippy - distributed-inference - local-inference - openai-compatible ---
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](https://huggingface.co/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](https://huggingface.co/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](https://huggingface.co/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](https://huggingface.co/unsloth/gpt-oss-20b-GGUF). ## Quickstart ```bash # Run this on each machine that should contribute memory/compute. mesh-llm serve --model "meshllm/gpt-oss-20b-UD-Q4_K_XL-layers" --split ``` ```bash # Check the mesh and discover the OpenAI-compatible model name. curl -s http://localhost:3131/api/status curl -s http://localhost:3131/v1/models ``` ```bash # 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. ```bash 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](https://huggingface.co/unsloth/gpt-oss-20b-GGUF) - Mesh LLM website: [meshllm.cloud](https://www.meshllm.cloud) - Mesh LLM: [github.com/Mesh-LLM/mesh-llm](https://github.com/Mesh-LLM/mesh-llm) - Discord: [discord.gg/rs6fmc63eN](https://discord.gg/rs6fmc63eN) - Package catalog: [meshllm/catalog](https://huggingface.co/datasets/meshllm/catalog) - Package format: [layer-package-repos.md](https://github.com/Mesh-LLM/mesh-llm/blob/main/docs/specs/layer-package-repos.md)