Instructions to use ModernoTech/Nova-Core with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use ModernoTech/Nova-Core 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 ModernoTech/Nova-Core:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/Nova-Core:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf ModernoTech/Nova-Core:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf ModernoTech/Nova-Core: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 ModernoTech/Nova-Core:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama cli -hf ModernoTech/Nova-Core:Q4_K_M

Use Docker

docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M

Llama new
LM Studio
Jan

vLLM

How to use ModernoTech/Nova-Core with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ModernoTech/Nova-Core"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ModernoTech/Nova-Core",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M

Ollama
How to use ModernoTech/Nova-Core with Ollama:
```
ollama run hf.co/ModernoTech/Nova-Core:Q4_K_M
```
Unsloth Desktop

How to use ModernoTech/Nova-Core with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Core: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": "ModernoTech/Nova-Core:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use ModernoTech/Nova-Core with Docker Model Runner:
```
docker model run hf.co/ModernoTech/Nova-Core:Q4_K_M
```

Lemonade

How to use ModernoTech/Nova-Core with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull ModernoTech/Nova-Core:Q4_K_M

Run and chat with the model

lemonade run user.Nova-Core-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use ModernoTech/Nova-Core with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Core: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 ModernoTech/Nova-Core:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use ModernoTech/Nova-Core with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf ModernoTech/Nova-Core: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 "ModernoTech/Nova-Core: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"

ModernoTech commited on 5 days ago

Commit

1b406f6

verified ·

1 Parent(s): d276273

Nova Core 2.0 performance artifact identity and owner-reported result policy

Browse files

Files changed (1) hide show

performance/performance.json +2 -14

performance/performance.json CHANGED Viewed

@@ -8,7 +8,7 @@
   },
   "repository": "ModernoTech/Nova-Core",
   "artifact": {
-    "filename": "Nova-Core-1.0-Gemma4-E2B-Q4_K_M.gguf",
     "bytes": 3009448896,
     "sha256": "c9213a33b16d513482790bb7092243f783a450e35f7deca584a41e0470afdb97",
     "format": "GGUF",
@@ -48,19 +48,7 @@
     "mne_expert_cache_fraction": "Active set + capped additive cache; rounded, saturation assumptions stated",
     "conventional_write_notes": "Conventional RAM path counts total artifact weights resident in RAM; active path measures only the bytes read per token as an upper bound"
   },
-  "measured": {
-    "hardware": "MacBook Air M4 16 GB",
-    "load_s": 3.16,
-    "prompt_tok_s": 49.5,
-    "decode_tok_s": 34.5,
-    "context": 512,
-    "flags": [
-      "-ngl 0",
-      "--ctx-size 512",
-      "--temp 0.7"
-    ],
-    "runtime": "llama-cli + GGUF"
-  },
   "ssd_cache_scenarios": [
     {
       "cache_hit": 0.9,

   },
   "repository": "ModernoTech/Nova-Core",
   "artifact": {
+    "filename": "Nova-Core-2.0-Q4_K_M.gguf",
     "bytes": 3009448896,
     "sha256": "c9213a33b16d513482790bb7092243f783a450e35f7deca584a41e0470afdb97",
     "format": "GGUF",
     "mne_expert_cache_fraction": "Active set + capped additive cache; rounded, saturation assumptions stated",
     "conventional_write_notes": "Conventional RAM path counts total artifact weights resident in RAM; active path measures only the bytes read per token as an upper bound"
   },
+  "measured": null,
   "ssd_cache_scenarios": [
     {
       "cache_hit": 0.9,