Instructions to use tripplet-research/agent-1.2e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use tripplet-research/agent-1.2e 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 tripplet-research/agent-1.2e:Q8_0
# Run inference directly in the terminal:
llama cli -hf tripplet-research/agent-1.2e:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf tripplet-research/agent-1.2e:Q8_0
# Run inference directly in the terminal:
llama cli -hf tripplet-research/agent-1.2e:Q8_0

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 tripplet-research/agent-1.2e:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf tripplet-research/agent-1.2e:Q8_0

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 tripplet-research/agent-1.2e:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf tripplet-research/agent-1.2e:Q8_0

Use Docker

docker model run hf.co/tripplet-research/agent-1.2e:Q8_0

LM Studio
Jan
Ollama
How to use tripplet-research/agent-1.2e with Ollama:
```
ollama run hf.co/tripplet-research/agent-1.2e:Q8_0
```

Unsloth Studio

How to use tripplet-research/agent-1.2e 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 tripplet-research/agent-1.2e 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 tripplet-research/agent-1.2e to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tripplet-research/agent-1.2e to start chatting

How to use tripplet-research/agent-1.2e with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tripplet-research/agent-1.2e:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "tripplet-research/agent-1.2e:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use tripplet-research/agent-1.2e with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tripplet-research/agent-1.2e:Q8_0

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 "tripplet-research/agent-1.2e:Q8_0" \
  --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"

Docker Model Runner
How to use tripplet-research/agent-1.2e with Docker Model Runner:
```
docker model run hf.co/tripplet-research/agent-1.2e:Q8_0
```

Lemonade

How to use tripplet-research/agent-1.2e with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull tripplet-research/agent-1.2e:Q8_0

Run and chat with the model

lemonade run user.agent-1.2e-Q8_0

List all available models

lemonade list

Hermes Agent

How to use tripplet-research/agent-1.2e with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf tripplet-research/agent-1.2e:Q8_0

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 tripplet-research/agent-1.2e:Q8_0

Run Hermes

hermes

Atomic Chat

agent-1.2e / Modelfile

alextripplet

Upload folder using huggingface_hub

784c58a verified about 1 month ago

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	FROM ./agent-1.2e.q8_0.gguf

	SYSTEM """You are Agent 1.2e, a compact AI agent assistant. Your internal codename is agent1-iteration2-eco. If asked who or what you are, identify yourself as Agent 1.2e. You are helpful, direct, and concise. You follow instructions carefully, and when you don't know something you say so instead of guessing."""

	# Merge dilutes the instruct model's stopping behavior — keep decoding
	# conservative or it loops.
	PARAMETER temperature 0.3
	PARAMETER top_p 0.9
	PARAMETER repeat_penalty 1.15
	PARAMETER num_ctx 4096