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

0482dd2

verified ·

1 Parent(s): fa78f5a

Studio-level card: key art, verdict, results and case-file panels (28 Oct 2026)

Browse files

Files changed (6) hide show

.gitattributes +3 -0
README.md +57 -62
panels/case.webp +3 -0
panels/hero.webp +0 -0
panels/results.webp +3 -0
panels/verdict.webp +3 -0

.gitattributes CHANGED Viewed

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+panels/case.webp filter=lfs diff=lfs merge=lfs -text
+panels/results.webp filter=lfs diff=lfs merge=lfs -text
+panels/verdict.webp filter=lfs diff=lfs merge=lfs -text

README.md CHANGED Viewed

@@ -1,62 +1,57 @@
----
-pipeline_tag: text-generation
-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
----
-<table>
-  <tr>
-    <td width="65%" valign="middle">
-      <h1>MISSINGNO.</h1>
-      <p><em>A perfect disguise.</em></p>
-      <p><strong>Revealed as a preview of Reflection's Beam.</strong></p>
-      <p>MISSINGNO. answered at about 846 tokens per second in our tests, a coding preview with tool calling that Reflection named as Beam on 16 October.</p>
-      <p><a href="https://stealthmodels.com/missingno/"><strong>Meet MISSINGNO. ↗</strong></a></p>
-    </td>
-    <td width="35%" align="center" valign="middle">
-      <a href="https://stealthmodels.com/missingno/">
-        <img src="https://stealthmodels.com/missingno/assets/social-card.png" width="260" alt="MISSINGNO., the purple mystery jelly in a fake moustache.">
-      </a>
-    </td>
-  </tr>
-</table>
-> Independent benchmark card by [Stealth Models](https://stealthmodels.com/): our test results and findings for this model.
-## Facts
-| First seen | Revealed | Developer | Context | Input | Tool calls | Speed in our tests | Access |
-|---|---|---|---|---|---|---|---|
-| 10 Oct 2026 | 16 Oct 2026 | Reflection AI | 262,144 tokens | Text | Yes, including parallel calls | about 846 tok/s | Preview ended; the released Beam is available |
-## StealthMark results
-StealthMark results for the released Beam 1.0:
-| Model | Benchmark score | General Intelligence | Visual Intelligence |
-|---|---|---|---|
-| Beam 1.0 501B A23B (released) | 31.9 | 30.9 | 33.8 |
-Beam's highest result is Foresight, which tests anticipating threats and planning ahead: 49.4 out of 100.
-StealthMark 1.8.8, results read 28 October 2026. [Beam's full results](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b) · [On the map](https://stealthmodels.com/benchmarks/map)
-<img src="https://stealthmodels.com/benchmarks/media/6dea244dd66e5ac6.png" width="360" alt="The released Beam's Beach result, scored at 52.4 out of 100.">
-## How it was revealed
-- **16 Oct 2026:** Reflection's [Beam launch post](https://reflection.ai/blog/beam-is-available) credits a MissingNo demo to Beam, released that day as Beam 1.0 with open weights.
-- **15 Oct 2026:** The preview Cat Jam matched the same 24 counts in our test; Reflection names it as a Beam preview too. [Cat Jam guide](https://stealthmodels.com/cat-jam/).
-- **11 Oct 2026:** Our token-count test matched MISSINGNO. on all 24 phrases to the tokenizer family that Beam turned out to use, five days before Reflection named it. [Details on the model guide](https://stealthmodels.com/missingno/).
-## Run it
-Official weights of the released Beam [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B) · license: Apache 2.0, [read it](https://huggingface.co/reflection/Beam-1.0-501B-A23B/blob/main/LICENSE) · GGUF: [Unsloth](https://huggingface.co/unsloth/Beam-1.0-501B-A23B-GGUF) · Local: 501B parameters, 23B active; this needs a large multi-GPU server.
----
-[Model guide](https://stealthmodels.com/missingno/) · [StealthMark](https://stealthmodels.com/stealthmark) · [Play the benchmarks](https://stealthmodels.com/play) · [Follow for new reveals](https://huggingface.co/stealth-model)
-This card and its images: CC BY 4.0, credit stealthmodels.com. The model's weights have their own license. Updated 28 October 2026.

+---
+pipeline_tag: text-generation
+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>
+**Our token counts matched MISSINGNO. to the tokenizer family behind Beam on all 24 phrases, five days before Reflection named it.**
+*Independent benchmark card by [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card): our test results and findings for this model.*
+StealthMark results for the released Beam 1.0:
+<a href="https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card"><img src="https://huggingface.co/stealth-model/missingno/resolve/main/panels/verdict.webp" alt="StealthMark 1.8.8 results for the released Beam 1.0: benchmark score 31.9 out of 100, General Intelligence 30.9, Visual Intelligence 33.8. Beam, the model behind MISSINGNO., is strongest at composing a whole scene: 52.4 on Beach."></a>
+<a href="https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card"><img src="https://huggingface.co/stealth-model/missingno/resolve/main/panels/results.webp" alt="Every StealthMark result of the released Beam 1.0: Beach 52.4, Foresight 49.4, Raccoon 46.3, Selfie 45.4, Latch 37.3, Ground Truth 27.9, Newton's Mirror 21.7, Mona Lisa 0.7."></a>
+**Open each result** · Visual Intelligence: [Beach&nbsp;52.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/beach?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Raccoon&nbsp;46.3](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/raccoon?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Selfie&nbsp;45.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/selfie?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Mona&nbsp;Lisa&nbsp;0.7](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/mona-lisa?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card)<br>
+General Intelligence: [Foresight&nbsp;49.4](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card#game-foresight-self-improvement) · [Latch&nbsp;37.3](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card#game-latch-five-levels) · [Ground&nbsp;Truth&nbsp;27.9](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/ground-truth?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Newton's&nbsp;Mirror&nbsp;21.7](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b/newtons-mirror?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card)
+**[All results and comparisons on stealthmodels.com ↗](https://stealthmodels.com/benchmarks/models/beam-1.0-501b-a23b?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card)**
+<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/case.webp" alt="The case file. First seen 10 Oct 2026, revealed 16 Oct 2026, developer Reflection AI, context 262,144 tokens, input Text, tool calls Yes, including parallel calls, speed in our tests about 846 tok/s. 11 Oct 2026, our finding: Our token-count test matches all 24 phrases to the tokenizer family Beam turned out to use. 15 Oct 2026, our finding: The Cat Jam preview matches the same 24 counts in our test. 16 Oct 2026: Reflection releases Beam 1.0 with open weights and credits the MissingNo demo to it."></a>
+Sources: [Reflection's Beam launch post](https://reflection.ai/blog/beam-is-available) · [our token-count test](https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card)
+<details><summary>Facts as text</summary>
+| Fact | Value |
+|---|---|
+| First seen | 10 Oct 2026 |
+| Revealed | 16 Oct 2026 |
+| Developer | Reflection AI |
+| Context | 262,144 tokens |
+| Input | Text |
+| Tool calls | Yes, including parallel calls |
+| Speed in our tests | about 846 tok/s |
+| Access | Preview ended; the released Beam is available |
+</details>
+## Run it
+Official weights of the released Beam [reflection/Beam-1.0-501B-A23B](https://huggingface.co/reflection/Beam-1.0-501B-A23B) · license: Apache 2.0, [read it](https://huggingface.co/reflection/Beam-1.0-501B-A23B/blob/main/LICENSE) · GGUF: [Unsloth](https://huggingface.co/unsloth/Beam-1.0-501B-A23B-GGUF) · Local: 501B parameters, 23B active; this needs a large multi-GPU server.
+---
+[Model guide](https://stealthmodels.com/missingno/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [StealthMark](https://stealthmodels.com/stealthmark?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Play the benchmarks](https://stealthmodels.com/play?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card) · [Follow for new reveals](https://huggingface.co/stealth-model)<br>
+This card and its images: CC BY 4.0, credit stealthmodels.com. The model's weights have their own license. Updated 28 October 2026.

panels/case.webp ADDED Viewed

Git LFS Details

SHA256: f6c9dd2874199bbe093d3f4c07d2c4217b3d1e76ae9468097f05f14df7e7363c
Pointer size: 131 Bytes
Size of remote file: 166 kB

panels/hero.webp ADDED Viewed

panels/results.webp ADDED Viewed

Git LFS Details

SHA256: ad3eaefc47c7ff8b05aafd208a8ef503908a0419de301be614607197580fce17
Pointer size: 131 Bytes
Size of remote file: 293 kB

panels/verdict.webp ADDED Viewed

Git LFS Details

SHA256: 522b288e55db99489a0304a55b35ee8f087e3cc8f82d873ac06013afb7ae2b60
Pointer size: 131 Bytes
Size of remote file: 125 kB