--- library_name: mesh-llm base_model: - "unsloth/Nemotron-3-Nano-30B-A3B-GGUF" pipeline_tag: text-generation tags: - gguf - mesh-llm - layer-package - skippy - distributed-inference - local-inference - openai-compatible ---
Mesh LLM

Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL

Distributed GGUF inference package for Mesh LLM

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GGUF layer package for running **Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL** across a local Mesh LLM cluster. This package is derived from [unsloth/Nemotron-3-Nano-30B-A3B-GGUF](https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-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/Nemotron-3-Nano-30B-A3B-GGUF](https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-GGUF) | | **Model id** | `unsloth/Nemotron-3-Nano-30B-A3B-GGUF:UD-Q4_K_XL` | | **Family** | Nemotron | | **Parameter scale** | 30B-A3B | | **Quantization** | `UD-Q4_K_XL` | | **Layer count** | 52 | | **Activation width** | 2688 | | **Package size** | 21.7 GB | | **Source file** | `Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL.gguf` | | **Package repo** | [meshllm/Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL-layers](https://huggingface.co/meshllm/Nemotron-3-Nano-30B-A3B-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/Nemotron-3-Nano-30B-A3B-GGUF](https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-GGUF). ## Quickstart ```bash # Run this on each machine that should contribute memory/compute. mesh-llm serve --model "meshllm/Nemotron-3-Nano-30B-A3B-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/Nemotron-3-Nano-30B-A3B-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/Nemotron-3-Nano-30B-A3B-GGUF@main/Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL.gguf` | | **Source revision** | `main` | | **Source SHA-256** | `627f5b04aedc97f967332f331bd75b7a4ed2f33ca83e6ee74b44235cc1887890` | | **Skippy ABI** | `0.1.24` | | **Package manifest SHA-256** | `7540109f46fcf9e157ad4f6095491a6f7a664f5d493fee3035ef6bc852adb041` | ## What Is Included | Artifact | Path | Contents | SHA-256 | |---|---|---|---| | Manifest | `model-package.json` | Package schema, source identity, checksums | `7540109f46fcf9e157ad4f6095491a6f7a664f5d493fee3035ef6bc852adb041` | | Metadata | `shared/metadata.gguf` | 0 tensors, 7.5 MB | `11260b6d5f64a5c4b9649b3e9e88b05ba66b8476c350a0523a69a42250faa297` | | Embeddings | `shared/embeddings.gguf` | 1 tensors, 238.5 MB | `9857d6af8b842a5a871a15c67fea5b14977b3d06080140ed92d089fa7736f36b` | | Output head | `shared/output.gguf` | 2 tensors, 364.5 MB | `33abed99bf276faf461576898c21e7f3572725d1141cf33db64c16e8c2e1b8e6` | | Transformer layers | `layers/layer-*.gguf` | 52 layer artifacts, 398 tensors, 21.1 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/Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_Nemotron-3-Nano-30B-A3B-UD-Q4_K_XL-layers-193/package" ``` ## Links - Source model: [unsloth/Nemotron-3-Nano-30B-A3B-GGUF](https://huggingface.co/unsloth/Nemotron-3-Nano-30B-A3B-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)