What are the hardware requirements for Beam 1.0 REAP 255B A23B?

Beam 1.0 REAP 255B A23B requires approximately 424.7 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Beam 1.0 REAP 255B A23B and how large is it?

Beam 1.0 REAP 255B A23B is developed by mrfakename, a model with 501b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Beam 1.0 REAP 255B A23B?

Beam 1.0 REAP 255B A23B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Beam 1.0 REAP 255B A23B by mrfakename — VRAM 424.7GB, 1024K context

Name: Beam 1.0 REAP 255B A23B
Author: mrfakename

Beam 1.0 REAP 255B A23B is an open-source language model by mrfakename. Features: 501b LLM, VRAM: 424.7GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.29.

Arxiv:2510.13999 Base model:finetune:reflection... Base model:reflection/beam-1.0... Beam Conversational En Endpoints compatible Expert-pruning Mixture-of-experts Moe Pruned Reap Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mrfakename/Beam-1.0-REAP-255B-A23B

Beam 1.0 REAP 255B A23B Parameters and Internals

LLM Name	Beam 1.0 REAP 255B A23B
Repository 🤗	https://huggingface.co/mrfakename/Beam-1.0-REAP-255B-A23B
Base Model(s)	reflection/Beam-1.0-501B-A23B reflection/Beam-1.0-501B-A23B
Model Size	501b
Required VRAM	424.7 GB
Updated	2026-10-26
Maintainer	mrfakename
Model Type	beam
Model Files	0.8 GB: 1-of-53 0.8 GB: 2-of-53 0.8 GB: 3-of-53 10.3 GB: 4-of-53 10.3 GB: 5-of-53 10.3 GB: 6-of-53 10.3 GB: 7-of-53 10.3 GB: 8-of-53 10.3 GB: 9-of-53 10.3 GB: 10-of-53 10.3 GB: 11-of-53 10.3 GB: 12-of-53 10.3 GB: 13-of-53 10.3 GB: 14-of-53 10.3 GB: 15-of-53 10.3 GB: 16-of-53 10.3 GB: 17-of-53 10.3 GB: 18-of-53 10.3 GB: 19-of-53 10.3 GB: 20-of-53 10.3 GB: 21-of-53 10.3 GB: 22-of-53 10.3 GB: 23-of-53 10.3 GB: 24-of-53 10.3 GB: 25-of-53 10.3 GB: 26-of-53 10.3 GB: 27-of-53 10.3 GB: 28-of-53 10.3 GB: 29-of-53 10.3 GB: 30-of-53 10.3 GB: 31-of-53 10.3 GB: 32-of-53 10.3 GB: 33-of-53 10.3 GB: 34-of-53 10.3 GB: 35-of-53 10.3 GB: 36-of-53 10.3 GB: 37-of-53 10.3 GB: 38-of-53 10.3 GB: 39-of-53 10.3 GB: 40-of-53 10.3 GB: 41-of-53 10.3 GB: 42-of-53 10.3 GB: 43-of-53 10.3 GB: 44-of-53
Supported Languages	en
Model Architecture	BeamForCausalLM
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Vocabulary Size	151936

Rank the Beam 1.0 REAP 255B A23B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Beam 1.0 REAP 255B A23B

Best Alternatives	Context / RAM	Downloads	Likes
Beam 1.0 501B A23B	1024K / 228.1 GB	2930	179
Beam 1.0 501B A23B NVFP4	1024K / 0.8 GB	2036	38
Beam 1.0 501B A23B FP8	1024K / 120.3 GB	1208	33
...1B A23B NVFP4 TP3 3x DGX Spark	1024K / 0.9 GB	34	2

Note: green Score (e.g. "73.2") means that the model is better than mrfakename/Beam-1.0-REAP-255B-A23B.