Instructions to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M

Use Docker

docker model run hf.co/CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with Ollama:
```
ollama run hf.co/CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
```
Unsloth Desktop

How to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CodeFault/Qwen3-Coder-Next-64B-REAP-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": "CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with Docker Model Runner:
```
docker model run hf.co/CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M
```

Lemonade

How to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-Coder-Next-64B-REAP-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-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 CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use CodeFault/Qwen3-Coder-Next-64B-REAP-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf CodeFault/Qwen3-Coder-Next-64B-REAP-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 "CodeFault/Qwen3-Coder-Next-64B-REAP-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"

CodeFault commited on Apr 11

Commit

e42b3f5

verified ·

1 Parent(s): 30b2b2a

Create README.md

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README.md +40 -0

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	@@ -0,0 +1,40 @@

+---
+base_model: 0xSero/qwen3-coder-next-64b-REAP
+base_model_relation: quantized
+language:
+- en
+license: apache-2.0
+tags:
+- quantized
+- gguf
+- qwen3
+- moe
+---
+# Qwen3-Coder-Next 64B REAP - GGUF
+Quantized GGUF versions of [0xSero/qwen3-coder-next-64b-REAP](https://huggingface.co/0xSero/qwen3-coder-next-64b-REAP).
+## Quantizations provided
+| File | Quantization | Size |
+|------|-------------|------|
+| `qwen3-coder-next-64b-REAP-Q8_0.gguf` | Q8_0 | ~64 GiB |
+| `qwen3-coder-next-64b-REAP-Q6_K.gguf` | Q6_K | ~50 GiB |
+| `qwen3-coder-next-64b-REAP-Q5_K_M.gguf` | Q5_K_M | ~43 GiB |
+| `qwen3-coder-next-64b-REAP-Q4_K_M.gguf` | Q4_K_M | ~37 GiB |
+## Perplexity test
+I tested perplexity using `llama-perplexity` and Saleforce's [wikitext-2-raw-v1](https://huggingface.co/datasets/Salesforce/wikitext/tree/main/wikitext-2-raw-v1).
+| File | Quantization | Ctx | PPL |
+|------|--------------|-----|-----|
+| `qwen3-coder-next-64b-REAP-BF16.gguf` | BF16 | 512 | TBD |
+| `qwen3-coder-next-64b-REAP-Q8_0.gguf` | Q8_0 | 512 | 12.4389 +/- 0.10323 |
+| `qwen3-coder-next-64b-REAP-Q6_K.gguf` | Q6_K | 512 | 12.4087 +/- 0.10285 |
+| `qwen3-coder-next-64b-REAP-Q5_K_M.gguf` | Q5_K_M | 512 | 12.5573 +/- 0.10461 |
+| `qwen3-coder-next-64b-REAP-Q4_K_M.gguf` | Q4_K_M | 512 | 12.6123 +/- 0.10518 |