Instructions to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF",
	filename="Qwen3-Coder-Next-ROCmFP4-STRIX-embQ8-imatrix-headQ6.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
# Run inference directly in the terminal:
llama cli -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
# Run inference directly in the terminal:
llama cli -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
# Run inference directly in the terminal:
./llama-cli -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
# Run inference directly in the terminal:
./build/bin/llama-cli -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

Use Docker

docker model run hf.co/plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

LM Studio
Jan
Ollama
How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with Ollama:
```
ollama run hf.co/plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
```

Unsloth Studio

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF 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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF 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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF to start chatting

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

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": "plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

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 "plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF" \
  --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 plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with Docker Model Runner:
```
docker model run hf.co/plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF
```

Lemonade

How to use plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull plunderstruck/Qwen3-Coder-Next-ROCmFP4-GGUF

Run and chat with the model

lemonade run user.Qwen3-Coder-Next-ROCmFP4-GGUF-{{QUANT_TAG}}

List all available models

lemonade list

plunderstruck commited on 18 days ago

Commit

9acfd2c

verified ·

1 Parent(s): abdce29

Repoint build instructions to charlie12345/ROCmFPX (ROCmFPX FP3/4/6/8 repo)

Browse files

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -66,7 +66,7 @@ base_model_relation: quantized
 <div style="border:2px solid #dc2626; padding:10px 13px; font-family:ui-monospace,'SF Mono',Consolas,monospace; font-size:12.5px; margin:14px 0;">
 <b style="color:#dc2626; letter-spacing:1px;">⚠ REQUIRES THE ROCmFP4 FORK</b><br>
-The custom <code>q4_0_rocmfp4</code> / <code>q4_0_rocmfp4_fast</code> tensor types <b>will not load in stock llama.cpp, LM Studio, or Ollama</b>. Build/run with <a href="https://github.com/charlie12345/rocmfp4-llama">charlie12345/rocmfp4-llama</a> · branch <code>mtp-rocmfp4-strix</code>.
 </div>
 <div style="border:1px solid currentColor; padding:8px 13px; font-family:ui-monospace,'SF Mono',Consolas,monospace; font-size:12px; margin:14px 0; opacity:0.85;">
@@ -243,7 +243,7 @@ llama-quantize --allow-requantize --token-embedding-type q8_0 --output-tensor-ty
 <tbody>
 <tr><td style="border:1px solid currentColor; padding:8px 11px; width:26%;">BASE MODEL</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://huggingface.co/Qwen/Qwen3-Coder-Next">Qwen/Qwen3-Coder-Next</a> (Apache-2.0, Qwen team) · 80B-A3B MoE, arch <code>qwen3next</code></td></tr>
 <tr><td style="border:1px solid currentColor; padding:8px 11px;">CALIBRATION</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://huggingface.co/datasets/eaddario/imatrix-calibration">eaddario/imatrix-calibration</a> (code) · Kalomaze <code>groups_merged</code> via <a href="https://huggingface.co/datasets/froggeric/imatrix">froggeric/imatrix</a> (general)</td></tr>
-<tr><td style="border:1px solid currentColor; padding:8px 11px;">FORMAT + RUNTIME</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://github.com/charlie12345/rocmfp4-llama">charlie12345/rocmfp4-llama</a> (based on llama.cpp, MIT)</td></tr>
 </tbody>
 </table>
 </div>

 <div style="border:2px solid #dc2626; padding:10px 13px; font-family:ui-monospace,'SF Mono',Consolas,monospace; font-size:12.5px; margin:14px 0;">
 <b style="color:#dc2626; letter-spacing:1px;">⚠ REQUIRES THE ROCmFP4 FORK</b><br>
+The custom <code>q4_0_rocmfp4</code> / <code>q4_0_rocmfp4_fast</code> tensor types <b>will not load in stock llama.cpp, LM Studio, or Ollama</b>. Build/run with <a href="https://github.com/charlie12345/ROCmFPX">charlie12345/ROCmFPX</a> · branch <code>mtp-rocmfp4-strix</code>.
 </div>
 <div style="border:1px solid currentColor; padding:8px 13px; font-family:ui-monospace,'SF Mono',Consolas,monospace; font-size:12px; margin:14px 0; opacity:0.85;">
 <tbody>
 <tr><td style="border:1px solid currentColor; padding:8px 11px; width:26%;">BASE MODEL</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://huggingface.co/Qwen/Qwen3-Coder-Next">Qwen/Qwen3-Coder-Next</a> (Apache-2.0, Qwen team) · 80B-A3B MoE, arch <code>qwen3next</code></td></tr>
 <tr><td style="border:1px solid currentColor; padding:8px 11px;">CALIBRATION</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://huggingface.co/datasets/eaddario/imatrix-calibration">eaddario/imatrix-calibration</a> (code) · Kalomaze <code>groups_merged</code> via <a href="https://huggingface.co/datasets/froggeric/imatrix">froggeric/imatrix</a> (general)</td></tr>
+<tr><td style="border:1px solid currentColor; padding:8px 11px;">FORMAT + RUNTIME</td><td style="border:1px solid currentColor; padding:8px 11px;"><a href="https://github.com/charlie12345/ROCmFPX">charlie12345/ROCmFPX</a> (based on llama.cpp, MIT)</td></tr>
 </tbody>
 </table>
 </div>