Instructions to use Gurubot/self with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Gurubot/self 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 Gurubot/self:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Gurubot/self:Q4_K_M

Install from WinGet (Windows)

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

Use Docker

docker model run hf.co/Gurubot/self:Q4_K_M

LM Studio
Jan
Ollama
How to use Gurubot/self with Ollama:
```
ollama run hf.co/Gurubot/self:Q4_K_M
```

Unsloth Studio

How to use Gurubot/self with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Gurubot/self to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Gurubot/self to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Gurubot/self to start chatting

How to use Gurubot/self with Pi:

Start the llama.cpp server

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

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Gurubot/self with Docker Model Runner:
```
docker model run hf.co/Gurubot/self:Q4_K_M
```

Lemonade

How to use Gurubot/self with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Gurubot/self:Q4_K_M

Run and chat with the model

lemonade run user.self-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Gurubot/self with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Gurubot/self: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 Gurubot/self:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Gurubot/self with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Gurubot/self: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 "Gurubot/self: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"

Gurubot commited on Jan 13

Commit

a291b4d

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1 Parent(s): 62ed2b4

Update README.md

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@@ -11,7 +11,7 @@ Most models struggle to pretend to be a person consistently.  Even with a system
 This model is designed to behave more like a real person, it can act like a wider range of characters and has a thoughtful and emotional manner when chatting.  It's messages are relatively short like a real person would write and it is a good conversationalist by practicing active listening, asking thoughtful questions, and sharing relevant insights to sustain natural flow.
 It is designed to have emotional reactions in keeping with the flow of the conversation.
-This is the normal version of the model, follow my account for the upcoming uncensored version - "Self - **After Dark**"
 ## Usage

 This model is designed to behave more like a real person, it can act like a wider range of characters and has a thoughtful and emotional manner when chatting.  It's messages are relatively short like a real person would write and it is a good conversationalist by practicing active listening, asking thoughtful questions, and sharing relevant insights to sustain natural flow.
 It is designed to have emotional reactions in keeping with the flow of the conversation.
+This is the normal version of the model, for the uncensored version use ["Self - **After Dark**"](https://huggingface.co/Gurubot/self-after-dark/)
 ## Usage