Instructions to use midnightcoderagent/MidnightCoder-30B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use midnightcoderagent/MidnightCoder-30B with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="midnightcoderagent/MidnightCoder-30B",
	filename="MidnightCoder-30B.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use midnightcoderagent/MidnightCoder-30B 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 midnightcoderagent/MidnightCoder-30B
# Run inference directly in the terminal:
llama cli -hf midnightcoderagent/MidnightCoder-30B

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf midnightcoderagent/MidnightCoder-30B
# Run inference directly in the terminal:
llama cli -hf midnightcoderagent/MidnightCoder-30B

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 midnightcoderagent/MidnightCoder-30B
# Run inference directly in the terminal:
./llama-cli -hf midnightcoderagent/MidnightCoder-30B

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 midnightcoderagent/MidnightCoder-30B
# Run inference directly in the terminal:
./build/bin/llama-cli -hf midnightcoderagent/MidnightCoder-30B

Use Docker

docker model run hf.co/midnightcoderagent/MidnightCoder-30B

LM Studio
Jan

vLLM

How to use midnightcoderagent/MidnightCoder-30B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "midnightcoderagent/MidnightCoder-30B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "midnightcoderagent/MidnightCoder-30B",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/midnightcoderagent/MidnightCoder-30B

Ollama
How to use midnightcoderagent/MidnightCoder-30B with Ollama:
```
ollama run hf.co/midnightcoderagent/MidnightCoder-30B
```

Unsloth Studio

How to use midnightcoderagent/MidnightCoder-30B 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 midnightcoderagent/MidnightCoder-30B 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 midnightcoderagent/MidnightCoder-30B to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for midnightcoderagent/MidnightCoder-30B to start chatting

How to use midnightcoderagent/MidnightCoder-30B with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf midnightcoderagent/MidnightCoder-30B

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": "midnightcoderagent/MidnightCoder-30B"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use midnightcoderagent/MidnightCoder-30B with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf midnightcoderagent/MidnightCoder-30B

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 midnightcoderagent/MidnightCoder-30B

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use midnightcoderagent/MidnightCoder-30B with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf midnightcoderagent/MidnightCoder-30B

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 "midnightcoderagent/MidnightCoder-30B" \
  --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 midnightcoderagent/MidnightCoder-30B with Docker Model Runner:
```
docker model run hf.co/midnightcoderagent/MidnightCoder-30B
```

Lemonade

How to use midnightcoderagent/MidnightCoder-30B with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull midnightcoderagent/MidnightCoder-30B

Run and chat with the model

lemonade run user.MidnightCoder-30B-{{QUANT_TAG}}

List all available models

lemonade list

midnightcoderagent commited on 9 days ago

Commit

a20c4cc

verified ·

1 Parent(s): c4ca671

Update README.md

Browse files

---
license: apache-2.0
base_model: Qwen/Qwen3-Coder-30B-A3B-Instruct
library_name: llama.cpp
pipeline_tag: text-generation
language:
- en
tags:
- gguf
- qwen3
- coding
- code-assistant
- software-engineering
- agent
- llama.cpp
- ollama
- local-ai
- developer-tools
---

# 🌙 MidnightCoder-30B-GGUF

> **A GGUF distribution of Qwen3-Coder-30B-A3B-Instruct optimized for the Midnight Coder software engineering agent.**

MidnightCoder-30B-GGUF is designed for developers who want to run a powerful coding model locally using **llama.cpp**, **Ollama**, **LM Studio**, or any GGUF-compatible inference engine.

This distribution is intended to work together with the **Midnight Coder** agent, providing a structured and specification-driven software engineering workflow.

---

# Features

- 🚀 Optimized for software engineering
- 📝 Specification-driven development
- 🤖 Designed for AI coding agents
- 🔧 Compatible with llama.cpp
- 🦙 Compatible with Ollama
- 💻 Local-first development
- 📚 Strong support for large codebases
- 🔍 Refactoring and debugging assistance
- 🧪 Test generation support
- 📖 Documentation generation

---

# Base Model

This model is based on:

**Qwen3-Coder-30B-A3B-Instruct**

All credit for the pretrained model belongs to the **Qwen Team (Alibaba)**.

This repository distributes the model in **GGUF** format for local inference.

---

# About Midnight Coder

Midnight Coder is an open-source AI coding assistant focused on structured software engineering.

Instead of behaving like a generic chatbot, Midnight Coder follows an engineering workflow centered around planning, specifications, implementation, and verification.

Typical workflow:

1. Understand the task
2. Create a technical specification
3. Define implementation scope
4. Implement changes
5. Verify results
6. Report completed work

This workflow helps produce predictable, maintainable, and review-friendly code.

---

# Intended Use

MidnightCoder-30B-GGUF is suitable for:

- Software Engineering
- Backend Development
- Frontend Development
- API Design
- SQL
- Docker
- DevOps
- Linux
- Code Review
- Refactoring
- Documentation
- Debugging
- Architecture Discussions

---

# Compatible Software

The model can be used with:

- llama.cpp
- Ollama
- LM Studio
- Open WebUI
- Jan
- KoboldCpp
- Text Generation WebUI
- Any GGUF-compatible runtime

---

# Recommended Context

Recommended context sizes:

| Context | Recommended Usage |
|----------|-------------------|
| 8K | Small projects |
| 16K | General development |
| 32K | Large repositories |
| 64K+ | Complex multi-file projects (hardware permitting) |

---

# Quantization

This repository provides the model in GGUF format.

The quantization is indicated in the filename.

Examples:

- Q4_K_M
- Q5_K_M
- Q6_K
- Q8_0

---

# Example (llama.cpp)

```bash
llama-cli \
-m MidnightCoder-30B-Q4_K_M.gguf \
-c 32768
```

---

# Example (Ollama)

Create a Modelfile:

```text
FROM MidnightCoder-30B-Q4_K_M.gguf

SYSTEM """
<Midnight Coder system prompt>
"""
```

Build:

```bash
ollama create midnightcoder -f Modelfile
```

Run:

```bash
ollama run midnightcoder
```

---

# Performance Notes

The required memory depends on:

- Quantization
- Context size
- KV cache precision
- Runtime configuration

Lower quantizations reduce memory usage while higher quantizations generally preserve more model quality.

---

# Limitations

Like any language model:

- Responses may contain inaccuracies.
- Generated code should always be reviewed.
- Security-sensitive code requires human validation.
- Production deployments should include proper testing.

---

# License

This repository distributes a GGUF version of the original model.

Please refer to the original **Qwen3-Coder-30B-A3B-Instruct** license for licensing terms regarding the base model.

---

# Acknowledgements

Special thanks to:

- Alibaba Qwen Team
- Hugging Face
- llama.cpp
- Ollama

for making local AI development accessible to the community.

---

# Midnight Coder

Midnight Coder is an open-source project dedicated to building high-quality AI tools for software developers.

## Links

**GitHub**

https://github.com/midnightcoderagent/Midnight-Coder

**Organization**

https://huggingface.co/MidnightCoder

---

## Disclaimer

This repository is an independent GGUF distribution based on **Qwen3-Coder-30B-A3B-Instruct**.

It is **not an official release** from the Qwen Team or Alibaba.

All trademarks and original model rights belong to their respective owners.

Files changed (1) hide show

README.md +14 -1

README.md CHANGED Viewed

@@ -1,3 +1,16 @@
 ---
 license: apache-2.0
----

 ---
 license: apache-2.0
+language:
+- en
+base_model:
+- Qwen/Qwen3-Coder-30B-A3B-Instruct
+tags:
+- gguf
+- qwen3
+- coding
+- software-engineering
+- agent
+- llama.cpp
+- ollama
+- developer-tools
+---