A 501B, 23B active chat model from reflection.
- Rating
- 4.8
- Downloads
- 6.9K
- Likes
- 18
- Parameters
- 501B, 23B active
- Context
- 1M
- Licence
- apache-2.0
Too big for this Mac
Its smallest size needs 126 GB of memory, more than M4 · 16 GB can give it.
Ratings
4.8 out of 5, across the tests below.
GPQA Diamond: questions PhD scientists write for each other. Humanity's Last Exam: questions written to be beyond today's models. SWE-bench Verified: real GitHub issues fixed so the project's tests pass. AIME 2026: this year's AIME competition problems. Scores are the ones filed on the model's Hugging Face page or the board's own table, read 2026-11-05; some come from the maker.
Beam 1.0 501B A23B runs well from a Mac with an M2 Ultra and 192 GB of memory. 5 of 59 Mac configurations run it well.
Compare with
The nearest models in size.
Sizes
From unsloth/Beam-1.0-501B-A23B-GGUF on Hugging Face. A smaller size is a smaller download and a little less accurate.
| Size | Download | Memory at 8K | Get |
|---|---|---|---|
| UD-IQ1_S | 103 GB | 103 GBestimated | Open |
| UD-IQ1_M | 124 GB | 124 GBestimated | Open |
| UD-IQ2_XXS | 134 GB | 134 GBestimated | Open |
| UD-IQ2_M | 165 GB | 165 GBestimated | Open |
| UD-Q2_K_XL | 187 GB | 187 GBestimated | Open |
| UD-IQ3_XXS | 197 GB | 197 GBestimated | Open |
| UD-Q3_K_XL | 242 GB | 243 GBestimated | Open |
| UD-Q4_K_XL | 307 GB | 307 GBestimated | Open |
| UD-Q5_K_XL | 369 GB | 370 GBestimated | Open |
| UD-Q6_K_XL | 453 GB | 453 GBestimated | Open |
| Q8_0 | 533 GB | 533 GBestimated | Open |
| BF16 | 1003 GB | 1003 GBestimated | Open |
Run It Anywhere
Beam 1.0 501B A23B is an open model, so any app that runs GGUF files can run it. These take the UD-IQ1_S size from unsloth straight from Hugging Face.
- LM StudioMac, Windows, Linux
Open - JanMac, Windows, Linux
Open - MstyMac, Windows, Linux
Open - OllamaMac, Windows, Linux
ollama run hf.co/unsloth/Beam-1.0-501B-A23B-GGUF:UD-IQ1_S - llama.cppMac, Windows, Linux
llama-server -hf unsloth/Beam-1.0-501B-A23B-GGUF:UD-IQ1_S - Docker Model RunnerMac, Windows, Linux
docker model run hf.co/unsloth/Beam-1.0-501B-A23B-GGUF:UD-IQ1_S
On a PC Graphics Card
| Video memory | Largest size that fits | Download | Memory at 8K |
|---|---|---|---|
| 6 GB | None worth running | needs 165 GB | |
| 8 GB | None worth running | needs 165 GB | |
| 10 GB | None worth running | needs 165 GB | |
| 11 GB | None worth running | needs 165 GB | |
| 12 GB | None worth running | needs 165 GB | |
| 16 GB | None worth running | needs 165 GB | |
| 20 GB | None worth running | needs 165 GB | |
| 24 GB | None worth running | needs 165 GB | |
| 32 GB | None worth running | needs 165 GB | |
| 48 GB | None worth running | needs 165 GB |
The largest size, of those that keep three bits a weight or more, whose memory at an 8K chat is under 92% of the card's; the rest is the desktop's. Estimated from the files, the same way as for a Mac; speed on a PC is not estimated yet. A size that doesn't fit the card still runs, slower, with part of it in ordinary memory.
On every Mac
| Mac | Size | Fit | Memory | Writes |
|---|---|---|---|---|
| M6 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M6 · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M6 · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Pro · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Pro · 48 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Pro · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Max · 36 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Max · 48 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Max · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Max · 128 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Ultra · 96 GB | UD-IQ1_S | Too big | 126 GB | |
| M5 Ultra · 256 GB | UD-IQ3_XXS | Runs well | 203 GB | 39 |
| M5 Ultra · 512 GB | UD-Q4_K_XL | Runs great | 329 GB | 28 |
| M4 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Pro · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Pro · 48 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Pro · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Max · 36 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Max · 48 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Max · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Max · 96 GB | UD-IQ1_S | Too big | 126 GB | |
| M4 Max · 128 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 · 8 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Pro · 18 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Pro · 36 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Max · 36 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Max · 48 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Max · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Max · 96 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Max · 128 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Ultra · 96 GB | UD-IQ1_S | Too big | 126 GB | |
| M3 Ultra · 256 GB | UD-IQ3_XXS | Runs well | 203 GB | 22 |
| M3 Ultra · 512 GB | UD-Q4_K_XL | Runs great | 329 GB | 16 |
| M2 · 8 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 · 24 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Pro · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Pro · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Max · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Max · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Max · 96 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Ultra · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Ultra · 128 GB | UD-IQ1_S | Too big | 126 GB | |
| M2 Ultra · 192 GB | UD-IQ1_M | Runs great | 129 GB | 28 |
| M1 · 8 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Pro · 16 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Pro · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Max · 32 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Max · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Ultra · 64 GB | UD-IQ1_S | Too big | 126 GB | |
| M1 Ultra · 128 GB | UD-IQ1_S | Too big | 126 GB |
Writes is words a second, estimated from the Mac's memory speed and the model's size; how, and how wrong.
Packaged by
2 repositories on Hugging Face carry this model for llama.cpp. Outmake reads them all as one model.
Information
- Maker
- reflection
- Released
- October 2026
- Parameters
- 501B, 23B active
- Longest chat
- 1M tokens
- Reads pictures
- No
- Licence
- apache-2.0
- Downloads this month
- 6,944
- Likes
- 18
- Sizes
- 12, 103 to 1003 GB
- Kind
- Maker's release
Badge for the model card
Shows on Beam 1.0 501B A23B's Hugging Face card which Macs run it well, linked to this page. It updates every morning.
Files, downloads and likes read from Hugging Face on November 5, 2026 and refreshed every morning. Memory and speed are estimates until someone running Outmake measures this model on that Mac.