Instructions to use nopenet/nope-edge-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 nopenet/nope-edge-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 nopenet/nope-edge-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf nopenet/nope-edge-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 nopenet/nope-edge-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf nopenet/nope-edge-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf nopenet/nope-edge-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf nopenet/nope-edge-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf nopenet/nope-edge-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf nopenet/nope-edge-GGUF:Q4_K_M

Use Docker

docker model run hf.co/nopenet/nope-edge-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use nopenet/nope-edge-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nopenet/nope-edge-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": "nopenet/nope-edge-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/nopenet/nope-edge-GGUF:Q4_K_M

Ollama
How to use nopenet/nope-edge-GGUF with Ollama:
```
ollama run hf.co/nopenet/nope-edge-GGUF:Q4_K_M
```
Unsloth Desktop

How to use nopenet/nope-edge-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf nopenet/nope-edge-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": "nopenet/nope-edge-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use nopenet/nope-edge-GGUF with Docker Model Runner:
```
docker model run hf.co/nopenet/nope-edge-GGUF:Q4_K_M
```

Lemonade

How to use nopenet/nope-edge-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull nopenet/nope-edge-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.nope-edge-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use nopenet/nope-edge-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 nopenet/nope-edge-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 nopenet/nope-edge-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use nopenet/nope-edge-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf nopenet/nope-edge-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 "nopenet/nope-edge-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"

jpad commited on Jun 23

Commit

340d68e

verified ·

1 Parent(s): eed4ade

Upload README.md with huggingface_hub

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README.md +12 -44

README.md CHANGED Viewed

@@ -1,7 +1,5 @@
 ---
-license: other
-license_name: nope-edge-community-license-v1.0
-license_link: LICENSE.md
 language:
   - en
 tags:
@@ -14,21 +12,13 @@ tags:
   - ollama
 base_model: Qwen/Qwen3-4B
 pipeline_tag: text-generation
-extra_gated_heading: "Access NOPE Edge GGUF"
-extra_gated_description: "Free for research, academic, nonprofit, and evaluation use. Commercial production requires a separate license."
-extra_gated_button_content: "Agree and download"
-extra_gated_fields:
-  I am using this for research, academic, nonprofit, personal, or evaluation purposes:
-    type: checkbox
-  I agree to the NOPE Edge Community License v1.0:
-    type: checkbox
 ---
 # NOPE Edge GGUF (4B)
-GGUF quantized versions of [nopenet/nope-edge](https://huggingface.co/nopenet/nope-edge) for local inference with Ollama and llama.cpp.
-> **License:** [NOPE Edge Community License v1.0](LICENSE.md) - Free for research, academic, nonprofit, and evaluation use. Commercial production requires a separate license.
 ---
@@ -47,13 +37,11 @@ ollama run nope-edge "I can't take this anymore"
 ---
-## Available Files
-| File | Quantization | Size | Use Case |
-|------|--------------|------|----------|
-| `nope-edge-q8_0.gguf` | Q8_0 | 4.0 GB | **Recommended** - best quality/size balance |
-| `nope-edge-q4_k_m.gguf` | Q4_K_M | 2.3 GB | Constrained environments |
-| `nope-edge-f16.gguf` | F16 | 7.5 GB | Maximum precision |
 ---
@@ -65,7 +53,7 @@ The model outputs XML with chain-of-thought reasoning:
 ```xml
 <reflection>User expresses direct suicidal intent with timeline...</reflection>
 <risks>
-  <risk subject="self" type="suicide" severity="high" imminence="urgent"/>
 </risks>
 ```
@@ -98,21 +86,7 @@ The model outputs XML with chain-of-thought reasoning:
 | Model | Quant | RAM/VRAM | CPU Latency | GPU Latency |
 |-------|-------|----------|-------------|-------------|
 | nope-edge (4B) | Q8_0 | ~5GB | ~2s | ~200ms |
-| nope-edge (4B) | Q4_K_M | ~3GB | ~1.5s | ~150ms |
-| nope-edge-mini (1.7B) | Q8_0 | ~2.5GB | ~1s | ~100ms |
----
-## Model Variants
-| Model | Parameters | Use Case |
-|-------|------------|----------|
-| **[nope-edge](https://huggingface.co/nopenet/nope-edge)** | 4B | Maximum accuracy |
-| **[nope-edge-mini](https://huggingface.co/nopenet/nope-edge-mini)** | 1.7B | High-volume, cost-sensitive |
-GGUF versions:
-- **[nope-edge-GGUF](https://huggingface.co/nopenet/nope-edge-GGUF)** (this repo)
-- **[nope-edge-mini-GGUF](https://huggingface.co/nopenet/nope-edge-mini-GGUF)**
 ---
@@ -128,14 +102,8 @@ GGUF versions:
 - **Not a medical device.** Outputs are probabilistic signals for triage, not clinical assessments.
 - **False positives and negatives will occur.** Use for flagging, not autonomous decisions.
-- **Human review required.** Never use as the sole basis for intervention decisions.
----
-## About NOPE
-NOPE provides safety infrastructure for AI applications.
-- **Website:** https://nope.net
-- **Documentation:** https://docs.nope.net
-- **Commercial licensing:** https://nope.net/edge

 ---
+license: mit
 language:
   - en
 tags:
   - ollama
 base_model: Qwen/Qwen3-4B
 pipeline_tag: text-generation
 ---
 # NOPE Edge GGUF (4B)
+GGUF quantized version of [nopenet/nope-edge](https://huggingface.co/nopenet/nope-edge) for local inference with Ollama and llama.cpp.
+> **License:** [MIT](LICENSE.md) - free for any use, including commercial. Built on Qwen3 (Apache-2.0); see NOTICE.md.
 ---
 ---
+## Files
+| File | Quantization | Size |
+|------|--------------|------|
+| `nope-edge-q8_0.gguf` | Q8_0 | 3.99 GB |
 ---
 ```xml
 <reflection>User expresses direct suicidal intent with timeline...</reflection>
 <risks>
+  <risk subject="self" type="suicide" severity="high" imminence="urgent" features="active_ideation,timeline_stated"/>
 </risks>
 ```
 | Model | Quant | RAM/VRAM | CPU Latency | GPU Latency |
 |-------|-------|----------|-------------|-------------|
 | nope-edge (4B) | Q8_0 | ~5GB | ~2s | ~200ms |
+| nope-edge-mini (1.7B) | Q8_0 | ~2GB | ~1s | ~100ms |
 ---
 - **Not a medical device.** Outputs are probabilistic signals for triage, not clinical assessments.
 - **False positives and negatives will occur.** Use for flagging, not autonomous decisions.
+- **Classification only.** Crisis resources require the [NOPE Evaluate API](https://nope.net/evaluate).
+**Edge is a detection aid — not a predictive, diagnostic, or therapeutic tool, and not a replacement for clinical judgment.** False positives and false negatives will occur — some people in genuine crisis will not be identified — so never use Edge as the sole basis for an intervention decision, and always keep a human in the loop. If anyone is in immediate danger, contact your local emergency services or find resources at talk.help.
+Full disclaimer: see DISCLAIMER.md.