Instructions to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-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 DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-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 DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

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 DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Use Docker

docker model run hf.co/DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Ollama
How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with Ollama:
```
ollama run hf.co/DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M
```
Unsloth Desktop

How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

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": "DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with Docker Model Runner:
```
docker model run hf.co/DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M
```

Lemonade

How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-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 DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

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 DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M

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 "DevQuasar/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16-GGUF:Q4_K_M" \
  --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"

csabakecskemeti commited on 19 days ago

Commit

efb6dac

verified ·

1 Parent(s): a097681

Upload folder using huggingface_hub

Browse files

Files changed (9) hide show

.gitattributes +8 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00001-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00002-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00003-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00004-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00005-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00006-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00007-of-00008.gguf +3 -0
Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00008-of-00008.gguf +3 -0

.gitattributes CHANGED Viewed

@@ -39,3 +39,11 @@ Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00001
 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text

 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00002-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00003-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
 Q2_K/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q2_K.gguf-00004-of-00004.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00001-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00002-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00003-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00004-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00005-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00006-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00007-of-00008.gguf filter=lfs diff=lfs merge=lfs -text
+Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00008-of-00008.gguf filter=lfs diff=lfs merge=lfs -text

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00001-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a724232df8433b83ca0b3476a9d7bc5803be8e40dc61d25f2bfb6c1bdaa15ee9
+size 13863753632

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00002-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:550d2e8b0a7482659e9548e7d8b87bdff05c2b70a8653143e9f6228e5a013743
+size 13367726272

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00003-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:8bb2c7d5de4e6ab198e41712e27fe62b83b65fd3f33f639c31dcbf4fa8e8bf55
+size 13170359936

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00004-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:a0ad2ca52c8d280bdd17af3e88d504fba33645f35107874e1a381cdeb944f8a8
+size 13343199104

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00005-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:c1bc406320690cfd1f0576643cf90b451ac98337d7c7f0fadf1c27b94b1aa18f
+size 13786525568

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00006-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:775b303ebbd515241efbf39f571461801a06d7c5dd5fb4e42ba7a6254439c9b0
+size 12700405280

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00007-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:58f35de9bd7fcec31f0c5400662700e9a7c14eb99c28e709cfe258ab8fb2d6e8
+size 12970753344

Q5_K_M/nvidia.NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16.f16.gguf.Q5_K_M.gguf-00008-of-00008.gguf ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:6fbaebbe815be85adcfdbbcd84a990c3a75ad4fa496fcffc418e86ec46d08f8d
+size 2513609312