Model reference · open weights
NVIDIA-Nemotron-3-Super-UD-Q4_K_XL-MTPv2-layers is an open-weight language model from meshllm. NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-layers (BF16) weighs 90.4 GB; the smallest configuration that runs it is 4× RTX 4090 24 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
Summary of the meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-layers model card, 2026-10-01
What it is
| Released by | meshllm |
|---|---|
| Released | 2026-09-12 |
| VRAM | 90.4 GB for the weights |
What it runs on
How much memory each request adds isn't estimated yet for this architecture. The weights need at least the cards below, plus room for the context.
| Card | Weights alone |
|---|---|
| RTX 3060 12 GB … H100 80 GB 8 smaller cards | does not fit |
| RTX PRO 6000 Blackwell 96 GB | tight |
| DGX Spark (GB10) 128 GB unified | fits |
| H200 141 GB | fits |
| B200 180 GB | fits |
| 4× RTX 4090 24 GB split by layers (llama.cpp) | tight |
| 4× RTX 3090 24 GB split by layers (llama.cpp) | tight |
| 4× RTX 5090 32 GB split by layers (llama.cpp) | fits |
| 2× H100 80 GB split by layers (llama.cpp) | fits |
| 2× A100 80 GB split by layers (llama.cpp) | fits |
| 4× L40S 48 GB split by layers (llama.cpp) | fits |
| 2× RTX PRO 6000 Blackwell 96 GB split by layers (llama.cpp) | fits |
From the model card
GGUF layer package for running NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2 across a local Mesh LLM cluster.
This package is derived from meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF and keeps the original GGUF distribution split into per-layer artifacts for distributed inference.
| 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 |
| Property | Value |
|---|---|
| Source model | meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF |
| Model id | meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF:UD-Q4_K_XL-MTPv2 |
| Family | NVIDIA |
| Parameter scale | 120B-A12B |
| Quantization | UD-Q4_K_XL |
| Layer count | 89 |
| Activation width | not recorded |
| Package size | 0 B |
| Source file | NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-00001-of-00003.gguf |
| Package repo | meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-layers |
| License | other from meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF |
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.
# 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
}'
| Property | Value |
|---|---|
| Format | gguf |
| Canonical source ref | meshllm/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-GGUF@360a2016f3b898925d7dc460d717852ba942948e/NVIDIA-Nemotron-3-Super-120B-A12B-UD-Q4_K_XL-MTPv2-00001-of-00003.gguf |
| Source revision | 360a2016f3b898925d7dc460d717852ba942948e |
| Source SHA-256 | e0868d034ab4d3b56a74cfa9786894719c147f851149fe256b79113fe4245bc2 |
| Skippy ABI | not recorded |
| Package manifest SHA-256 | 29c3756b4cc31800322a45dcf691303ec37096930ee69a1f395616b56b2cd69d |
| Artifact | Path | Contents | SHA-256 |
|---|---|---|---|
| Manifest | model-package.json | Package schema, source identity, checksums | 29c3756b4cc31800322a45dcf691303ec37096930ee69a1f395616b56b2cd69d |
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"
Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.
How it works