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missingno

Text Generation
GGUF
missingno
beam
llama.cpp
stealth-model
stealthmark
coding
reasoning
tool-use
imatrix
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missingno
File size: 4,317 Bytes
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---
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>

**Our token counts matched MISSINGNO. to the tokenizer family behind Beam on all 24 phrases, five days before Reflection named it.**

By [Stealth Models](https://stealthmodels.com/?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card).

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>

[See the token-count test](https://stealthmodels.com/missingno?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card#tokenizer)

<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>

[Compare Beam with MiMo-V2.6-Pro, whose tokenizer it shares](https://stealthmodels.com/compare/beam-1.0-501b-a23b-vs-mimo-v2.6-pro?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
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>
Text and images: CC BY 4.0, stealthmodels.com.