Instructions to use stealth-model/missingno with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use stealth-model/missingno 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 stealth-model/missingno:IQ2_XXS
# Run inference directly in the terminal:
llama cli -hf stealth-model/missingno:IQ2_XXS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf stealth-model/missingno:IQ2_XXS
# Run inference directly in the terminal:
llama cli -hf stealth-model/missingno:IQ2_XXS

Build from source code

git clone https://github.com/ggml-org/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-app
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama serve -hf stealth-model/missingno:IQ2_XXS
# Run inference directly in the terminal:
./build/bin/llama cli -hf stealth-model/missingno:IQ2_XXS

Use Docker

docker model run hf.co/stealth-model/missingno:IQ2_XXS

Llama new
LM Studio
Jan

vLLM

How to use stealth-model/missingno with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/stealth-model/missingno:IQ2_XXS

Ollama
How to use stealth-model/missingno with Ollama:
```
ollama run hf.co/stealth-model/missingno:IQ2_XXS
```
Unsloth Desktop

How to use stealth-model/missingno with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf stealth-model/missingno:IQ2_XXS

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": "stealth-model/missingno:IQ2_XXS"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use stealth-model/missingno with Docker Model Runner:
```
docker model run hf.co/stealth-model/missingno:IQ2_XXS
```

Lemonade

How to use stealth-model/missingno with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull stealth-model/missingno:IQ2_XXS

Run and chat with the model

lemonade run user.missingno-IQ2_XXS

List all available models

lemonade list

Hermes Agent

How to use stealth-model/missingno with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf stealth-model/missingno:IQ2_XXS

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 stealth-model/missingno:IQ2_XXS

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use stealth-model/missingno with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf stealth-model/missingno:IQ2_XXS

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 "stealth-model/missingno:IQ2_XXS" \
  --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"

stealth-model commited on 5 days ago

Commit

5602529

verified ·

1 Parent(s): 8a17468

Run it: Beam 1.0 GGUF files are here now

Browse files

Files changed (1) hide show

README.md +22 -3

README.md CHANGED Viewed

@@ -1,15 +1,20 @@
 ---
-license: cc-by-4.0
 tags:
   - missingno
   - beam
   - stealth-model
   - stealthmark
   - coding
   - reasoning
   - tool-use
 thumbnail: https://stealthmodels.com/missingno/assets/social-card.png
-new_version: reflection/Beam-1.0-501B-A23B
 ---
 <a href="https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card"><img src="https://huggingface.co/stealth-model/missingno/resolve/main/panels/hero.webp" alt="MISSINGNO., the purple mystery jelly in a fake moustache, at a Nous Portal checkpoint."></a>
@@ -46,7 +51,21 @@ StealthMark results for the released Beam 1.0:
 </details>
 ## Run it
-Beam 1.0 is open under Apache 2.0: [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B). Even in 2-bit it needs about 130 GB. GGUF files: [unsloth/Beam-1.0-501B-A23B-GGUF](https://huggingface.co/unsloth/Beam-1.0-501B-A23B-GGUF).
 ---
 [Model guide](https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [StealthMark leaderboard](https://huggingface.co/spaces/stealth-model/stealthmark) · [Follow us](https://huggingface.co/stealth-model)<br>

 ---
+license: apache-2.0
+base_model: reflection/Beam-1.0-501B-A23B
+base_model_relation: quantized
+pipeline_tag: text-generation
+library_name: gguf
 tags:
   - missingno
   - beam
+  - gguf
+  - llama.cpp
   - stealth-model
   - stealthmark
   - coding
   - reasoning
   - tool-use
 thumbnail: https://stealthmodels.com/missingno/assets/social-card.png
 ---
 <a href="https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card"><img src="https://huggingface.co/stealth-model/missingno/resolve/main/panels/hero.webp" alt="MISSINGNO., the purple mystery jelly in a fake moustache, at a Nous Portal checkpoint."></a>
 </details>
 ## Run it
+MissingNo was Beam 1.0, which is open under Apache 2.0 at [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B). Its GGUF files are right here.
+| File | Size | Best for |
+|---|---|---|
+| `IQ2_XXS/` | 134 GB in 4 parts | The smallest size we recommend: 192 GB machines, or a 32 GB GPU with 128 GB of RAM |
+```bash
+hf download stealth-model/missingno --local-dir beam-1.0 --include "IQ2_XXS/*"
+llama-server \
+  -m beam-1.0/IQ2_XXS/Beam-1.0-501B-A23B-IQ2_XXS-00001-of-00004.gguf \
+  -ngl all --n-cpu-moe 52 -fa on --jinja --temp 0.7 --top-p 0.99
+```
+`--n-cpu-moe 52` keeps all 52 expert layers in system RAM. Lower it until your GPU is full. On a 192 GB Mac, leave it out.
 ---
 [Model guide](https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [StealthMark leaderboard](https://huggingface.co/spaces/stealth-model/stealthmark) · [Follow us](https://huggingface.co/stealth-model)<br>