Instructions to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4
# Run inference directly in the terminal:
llama cli -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4
# Run inference directly in the terminal:
llama cli -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4
# Run inference directly in the terminal:
./build/bin/llama cli -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Use Docker

docker model run hf.co/lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Llama new
LM Studio
Jan
Ollama
How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with Ollama:
```
ollama run hf.co/lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4
```
Unsloth Desktop

How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with Docker Model Runner:
```
docker model run hf.co/lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4
```

Lemonade

How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Run and chat with the model

lemonade run user.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF-NVFP4

List all available models

lemonade list

Hermes Agent

How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF:NVFP4" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

💫 Community Model> NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr by nvidia

👾 LM Studio Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on Discord.

Model creator: nvidia
Original model: NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr
GGUF quantization: provided by LM Studio team using llama.cpp
License: OpenMDW-1.1, see LICENSE

Draft model for speculative decoding

NVIDIA's LiLiCorr draft model for NVIDIA Nemotron 3.5 Super VL (lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-GGUF). It isn't a standalone model: it proposes draft tokens, and Super verifies them. It works with both the Q4_K_M and NVFP4 GGUFs.

To use it in LM Studio, download it alongside Super. Then, in Super's load settings, set Speculative Decoding to DFlash and select this model. This needs LM Studio's llama.cpp engine 2.59.0 or newer.

Special thanks

🙏 Special thanks to Georgi Gerganov and the whole team working on llama.cpp for making all of this possible.

Disclaimers

LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.

Downloads last month: 683

GGUF

Model size

2B params

Architecture

dflash

Hardware compatibility

4-bit

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Model tree for lmstudio-community/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-NVFP4-LiLiCorr-GGUF

Base model

nvidia/NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16

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