Instructions to use bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M

Use Docker

docker model run hf.co/bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use bartowski/nex-agi_Nex-N2-mini-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "bartowski/nex-agi_Nex-N2-mini-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": "bartowski/nex-agi_Nex-N2-mini-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/bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M

Ollama
How to use bartowski/nex-agi_Nex-N2-mini-GGUF with Ollama:
```
ollama run hf.co/bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
```
Unsloth Desktop

How to use bartowski/nex-agi_Nex-N2-mini-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf bartowski/nex-agi_Nex-N2-mini-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": "bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use bartowski/nex-agi_Nex-N2-mini-GGUF with Docker Model Runner:
```
docker model run hf.co/bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M
```

Lemonade

How to use bartowski/nex-agi_Nex-N2-mini-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.nex-agi_Nex-N2-mini-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-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 bartowski/nex-agi_Nex-N2-mini-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use bartowski/nex-agi_Nex-N2-mini-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf bartowski/nex-agi_Nex-N2-mini-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 "bartowski/nex-agi_Nex-N2-mini-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"

Share my fix (on/off thought content) when running nex-m2-mini gguf with llama.cpp

by zhijin123 - opened Jun 14

Discussion

zhijin123

Jun 14

•

edited Jun 14

Firstly, extract the Nex-N2-mini gguf's chat/prompt template and save it (e.g. xxxxxx.json. If you don't know how to extract, use lmstudio download gguf and copy the prompt template).
Then change as below -- only one change.
Now, you can run llama.cpp cli/server with command "--jinja --chat-template-file xxxxxx.json"

Template from nex-n2-mini gguf
......
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '\n\n\n\n' }}
{%- else %}
{{- '<think>' }}
{%- endif %}
{%- endif %}

Change - only add back "\n" (from <think> to <think>\n)
......
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '\n\n\n\n' }}
{%- else %}
{{- '<think>\n' }} <== here
{%- endif %}
{%- endif %}

zhijin123 changed discussion title from Share my fix when running nex-m2-mini gguf with llama.cpp to Share my fix (suppress thought content) when running nex-m2-mini gguf with llama.cpp Jun 15

zhijin123 changed discussion title from Share my fix (suppress thought content) when running nex-m2-mini gguf with llama.cpp to Share my fix (on/off thought content) when running nex-m2-mini gguf with llama.cpp Jun 15

aDeposit

Jun 17

Yes, this change makes the model work properly. Why is this thing happening tho? What went wrong during the training of the model?

akierum

Jun 19

This model is better then Qwen 3.6 27B Q8 ! Resolved my code problem that Qwen 3.6 27B Q8 did not solve in 5 runs, it ran bash terminal inspected pyhon code and database simulated the problem and debugged it.

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Share my fix (on/off thought content) when running nex-m2-mini gguf with llama.cpp

Template from nex-n2-mini gguf......{%- if add_generation_prompt %}{{- '<|im_start|>assistant\n' }}{%- if enable_thinking is defined and enable_thinking is false %}{{- '\n\n\n\n' }}{%- else %}{{- '<think>' }}{%- endif %}{%- endif %}

Change - only add back "\n" (from <think> to <think>\n)......{%- if add_generation_prompt %}{{- '<|im_start|>assistant\n' }}{%- if enable_thinking is defined and enable_thinking is false %}{{- '\n\n\n\n' }}{%- else %}{{- '<think>\n' }} <== here{%- endif %}{%- endif %}

Template from nex-n2-mini gguf
......
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '\n\n\n\n' }}
{%- else %}
{{- '<think>' }}
{%- endif %}
{%- endif %}

Change - only add back "\n" (from <think> to <think>\n)
......
{%- if add_generation_prompt %}
{{- '<|im_start|>assistant\n' }}
{%- if enable_thinking is defined and enable_thinking is false %}
{{- '\n\n\n\n' }}
{%- else %}
{{- '<think>\n' }} <== here
{%- endif %}
{%- endif %}