NVIDIA-Nemotron-3-Super-UD-Q4_K_XL-MTP-layers

Highlights

Model Overview

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: meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF.

Quickstart

# Run this on each machine that should contribute memory/compute.
mesh-llm serve --model "meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-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": "meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF:UD-Q4_K_XL-MTPv2",
    "messages": [{"role": "user", "content": "Write a tiny hello-world function in Rust."}],
    "max_tokens": 128
  }'

Package Variant

What Is Included

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-Super-120B-A12B-UD-Q4_K_XL-MTPv2-00001-of-00003.gguf" --out-dir "/tmp/meshllm-layer-job-meshllm_NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-layers-1/package"

Links

• Source model: meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-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