OpenThinker Agent

An AI agent model optimized for terminal operations, code generation, and software engineering workflows. Based on open-thoughts/OpenThinker-Agent-v1, this model is trained with reinforcement learning on agentic tasks and distributed in quantized GGUF format for efficient local deployment.

Description

OpenThinker Agent is a specialized language model designed for software development tasks requiring deep reasoning and tool use. It has been fine-tuned on two datasets:

The model excels at understanding terminal commands, generating code, debugging, and following complex software engineering instructions. It's distributed as quantized GGUF files, making it suitable for local deployment with tools like Ollama, llama.cpp, LM Studio, or Jan.

Instructions

Setting Up the Model

1. **Choose Your Quantization Level**

- For optimal quality: Use Q4_K_M (5.1 GB) - fast and recommended

- For speed/size balance: Use Q4_K_S (4.9 GB) - optimal size/speed/quality

- For lower VRAM: Use IQ3_S (3.9 GB) - beats Q3_K variants

- For minimal VRAM: Use IQ2_S (3.0 GB) or lower

2. **Download the Model**

- Visit the model page: https://huggingface.co/mradermacher/OpenThinker-Agent-v1-i1-GGUF

- Select and download your chosen quantization (e.g., `OpenThinker-Agent-v1.i1-Q4_K_M.gguf`)

3. **Deploy with Your Tool**

**For Ollama:**

```bash

# Create a Modelfile

cat > Modelfile <<EOF

FROM ./OpenThinker-Agent-v1.i1-Q4_K_M.gguf

PARAMETER temperature 0.7

PARAMETER top_p 0.9

SYSTEM "You are OpenThinker Agent, an AI assistant specialized in software engineering, code generation, and terminal operations. Approach tasks methodically, explain your reasoning, and provide practical solutions."

EOF

# Import the model

ollama create openthinker-agent -f Modelfile

# Test it

ollama run openthinker-agent

```

**For llama.cpp:**

```bash

# Run the model

./main -m OpenThinker-Agent-v1.i1-Q4_K_M.gguf \

--temp 0.7 \

--top-p 0.9 \

--repeat-penalty 1.1 \

-n 512 \

-p "You are OpenThinker Agent..."

```

**For LM Studio / Jan:**

- Import the GGUF file through the GUI

- Configure the system prompt for software engineering tasks

- Set temperature to 0.7 and top_p to 0.9

4. **Integration with AI Coding Tools**

If using with Claude Code, Cline, Cursor, or similar tools that support custom models:

- Configure the tool to use your local OpenThinker Agent endpoint (e.g., Ollama API at `http://localhost:11434`)

- Set the model identifier (e.g., `openthinker-agent`)

- Adjust context window and token limits based on your quantization

Using the Agent

When interacting with OpenThinker Agent for software engineering tasks:

1. **Provide Clear Context**

- Specify the programming language, framework, or environment

- Include relevant code snippets or error messages

- Describe the desired outcome or goal

2. **Leverage Reasoning Capabilities**

- Ask the agent to "think step by step" for complex problems

- Request explanations of its reasoning process

- Use it for architectural decisions and design patterns

3. **Terminal and Code Tasks**

- Request shell scripts or command sequences

- Ask for code generation with specific requirements

- Seek debugging assistance with stack traces

- Get explanations of existing code

4. **Example Prompts**

```

"Write a Python script that monitors system CPU usage and sends an alert when it exceeds 80%"

"Debug this error: [paste error]. The code is: [paste code]. What's causing it and how do I fix it?"

"Create a bash script to backup my PostgreSQL database daily at 2 AM"

"Refactor this function to use async/await instead of callbacks: [paste code]"

```

Constraints

Notes