---
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
---
**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:
[See the token-count test](https://stealthmodels.com/missingno?utm_source=huggingface&utm_medium=referral&utm_campaign=missingno-card#tokenizer)
[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)
Facts as text
| 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 |
## 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)
Text and images: CC BY 4.0, stealthmodels.com.