Instructions to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with Ollama:
```
ollama run hf.co/mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
```
Unsloth Desktop

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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": "mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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 "mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-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"

mradermacher commited on Jul 31, 2025

Commit

d915634

verified ·

1 Parent(s): 7f7ef9d

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +6 -1

README.md CHANGED Viewed

@@ -6,6 +6,8 @@ language:
 - en
 library_name: transformers
 license: mit
 quantized_by: mradermacher
 tags:
 - acecoder
@@ -22,6 +24,9 @@ tags:
 static quants of https://huggingface.co/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule
 <!-- provided-files -->
 weighted/imatrix quants are available at https://huggingface.co/mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-i1-GGUF
 ## Usage
@@ -65,6 +70,6 @@ questions you might have and/or if you want some other model quantized.
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
-this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
 <!-- end -->

 - en
 library_name: transformers
 license: mit
+mradermacher:
+  readme_rev: 1
 quantized_by: mradermacher
 tags:
 - acecoder
 static quants of https://huggingface.co/TIGER-Lab/AceCoder-Qwen2.5-Coder-7B-Base-Rule
 <!-- provided-files -->
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#AceCoder-Qwen2.5-Coder-7B-Base-Rule-GGUF).***
 weighted/imatrix quants are available at https://huggingface.co/mradermacher/AceCoder-Qwen2.5-Coder-7B-Base-Rule-i1-GGUF
 ## Usage
 I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
 me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
 <!-- end -->