GGUF layer package for running NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL across a local Mesh LLM cluster.
This package is derived from unsloth/NVIDIA-Nemotron-3.5-Lightning-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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF |
| Model id | unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF:UD-Q4_K_XL |
| Family | NVIDIA |
| Parameter scale | 30B-A3B |
| Quantization | UD-Q4_K_XL |
| Layer count | 53 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL.gguf |
| Package repo | meshllm/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL-layers |
| License | other from unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF.
Quickstart
# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-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/NVIDIA-Nemotron-3.5-Lightning-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 | gguf |
| Canonical source ref | unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF@f2d3fe3694501008786e81e5f20360cbf715496a/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL.gguf |
| Source revision | f2d3fe3694501008786e81e5f20360cbf715496a |
| Source SHA-256 | 112bf957489a497c18f60bf8bd44ee1dfa05e87368b8ed7f68998a4e38f275c9 |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | 634ab8c3a4ada0b8627a430d9dafb5aeb8b7b29f0ceb2b6284e5bed50e124183 |
What Is Included
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 634ab8c3a4ada0b8627a430d9dafb5aeb8b7b29f0ceb2b6284e5bed50e124183 |
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/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_NVIDIA-Nemotron-3.5-Lightning-30B-A3B-UD-Q4_K_XL-layers-1/package"
Links
- Source model: unsloth/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-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