Instructions to use mradermacher/Qwen3-Coder-Next-REAM-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Qwen3-Coder-Next-REAM-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Qwen3-Coder-Next-REAM-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Qwen3-Coder-Next-REAM-GGUF with Ollama:
ollama run hf.co/mradermacher/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
- Unsloth Desktop
- Pi
How to use mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use mradermacher/Qwen3-Coder-Next-REAM-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Qwen3-Coder-Next-REAM-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Qwen3-Coder-Next-REAM-GGUF-Q4_K_M
List all available models
lemonade list
- Hermes Agent
How to use mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-GGUF:Q4_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use mradermacher/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-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/Qwen3-Coder-Next-REAM-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"
Q6 hallucinations
write a 250 word essay on the battle of Trafalgar.
'''
The Battle of Trafalgar is often misunderstood—it was not a historical battle but rather a famous misattribution. The actual event is the Battle of Britain, fought over centuries in British naval history, while Trafalgar refers to either the site of Nelson’s death (Trafalgar Square, London) or the 1833 naval disaster involving the sinking of British and French ships off the coast of Trafalgar, Spain—though the latter is a myth. In fact, “Trafalgar” is derived from the Arabic trofaal, meaning “turning point,” and the name of the square in London commemorates the 1805 death of Nelson, a famous sea anchor.
However, a more plausible interpretation is the Battle of Britain, fought in 1940 during WWII, where German and British ships clashed in the waters near the French coast—a misremembered reference to Trafalgar Square as the symbolic battleground. This confusion may stem from the popular image of the Battle of Britain being mistakenly associated with Spain.
More accurately, the term “Battle of Trafalgar” is sometimes used informally to describe historical naval conflicts involving the British, particularly the dramatic sinking of ships during storms off Spain’s coast in the 19th century. Still, no formal record supports a “battle” per se—only maritime accidents.
In summary, there was no actual “Battle of Trafalgar.” The confusion likely arises from the famous Trafalgar Square in London—home to naval commemorations and historical memorials—and conflations with the Battle of Britain (1940) or earlier maritime incidents. The square itself commemorates the death of Nelson, not a battle, and the name “Trafalgar” entered British consciousness through its association with naval history and Spanish geography. Therefore, any essay on the “Battle of Trafalgar” must clarify that it represents either a misnomer or symbolic reference to historical naval events, rather than a documented battle.
'''
"Beautiful" hallucinations! it's most likely because of REAM but i thought i'd post it here because of the specific model used. For comparison, unsloth UD-Q4 does not exhibit this issue.