Instructions to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
# Run inference directly in the terminal:
llama cli -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
# Run inference directly in the terminal:
llama cli -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

Use Docker

docker model run hf.co/MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

LM Studio
Jan

vLLM

How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

Ollama
How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with Ollama:
```
ollama run hf.co/MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
```
Unsloth Desktop

How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

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": "MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with Docker Model Runner:
```
docker model run hf.co/MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16
```

Lemonade

How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

Run and chat with the model

lemonade run user.gpt-oss-20b-moe-cpu-offload-gguf-F16

List all available models

lemonade list

Hermes Agent

How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

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 MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16

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 "MikeKuykendall/gpt-oss-20b-moe-cpu-offload-gguf:F16" \
  --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"

MikeKuykendall commited on Oct 6, 2025

Commit

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@@ -1,3 +1,44 @@
 # GPT-OSS 20B MoE CPU Offload - GGUF
 **🚀 First Implementation of MoE CPU Offloading Technology**

+---
+license: apache-2.0
+base_model: WeOpenML/GPT-OSS-20B
+tags:
+- mixture-of-experts
+- moe
+- cpu-offload
+- gguf
+- llama.cpp
+- shimmy
+- memory-efficient
+- first-implementation
+library_name: llama.cpp
+model_type: gpt-oss
+quantized_by: MikeKuykendall
+language:
+- en
+- multilingual
+pipeline_tag: text-generation
+widget:
+- text: "Write a Python function for fibonacci sequence"
+  example_title: "Code Generation"
+- text: "Explain quantum computing in simple terms"
+  example_title: "Explanation Task"
+model-index:
+- name: gpt-oss-20b-moe-cpu-offload-gguf
+  results:
+  - task:
+      type: text-generation
+    dataset:
+      type: cpu-offload-benchmark
+      name: MoE CPU Offloading (First Implementation)
+    metrics:
+    - type: vram_reduction
+      value: 99.9
+      name: VRAM Reduction %
+    - type: memory_usage_mb
+      value: 2
+      name: GPU Memory Usage (MB)
+---
 # GPT-OSS 20B MoE CPU Offload - GGUF
 **🚀 First Implementation of MoE CPU Offloading Technology**