What are the hardware requirements for Beam 1.0 501B A23B MXFP4?

Beam 1.0 501B A23B MXFP4 requires approximately 209.6 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 501B A23B MXFP4 and how large is it?

Beam 1.0 501B A23B MXFP4 is developed by zouaynib, 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 501B A23B MXFP4?

Beam 1.0 501B A23B MXFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Beam 1.0 501B A23B MXFP4 by zouaynib — VRAM 209.6GB, 1024K context

Name: Beam 1.0 501B A23B MXFP4
Author: zouaynib

Beam 1.0 501B A23B MXFP4 is an open-source language model by zouaynib. Features: 501b LLM, VRAM: 209.6GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.3.

8-bit Amd Base model:quantized:reflectio... Base model:reflection/beam-1.0... Beam Conversational En Mi300x Mixture-of-experts Mxfp4 Region:us Rocm Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/zouaynib/Beam-1.0-501B-A23B-MXFP4

Beam 1.0 501B A23B MXFP4 Parameters and Internals

LLM Name	Beam 1.0 501B A23B MXFP4
Repository 🤗	https://huggingface.co/zouaynib/Beam-1.0-501B-A23B-MXFP4
Base Model(s)	reflection/Beam-1.0-501B-A23B reflection/Beam-1.0-501B-A23B
Model Size	501b
Required VRAM	209.6 GB
Updated	2026-10-31
Maintainer	zouaynib
Model Type	beam
Model Files	0.8 GB: 1-of-53 0.8 GB: 2-of-53 0.8 GB: 3-of-53 5.6 GB: 4-of-53 5.6 GB: 5-of-53 5.6 GB: 6-of-53 5.6 GB: 7-of-53 5.6 GB: 8-of-53 5.6 GB: 9-of-53 5.6 GB: 10-of-53 5.6 GB: 11-of-53 5.6 GB: 12-of-53 5.6 GB: 13-of-53 5.6 GB: 14-of-53 5.6 GB: 15-of-53 5.6 GB: 16-of-53 5.6 GB: 17-of-53 5.6 GB: 18-of-53 5.6 GB: 19-of-53 5.6 GB: 20-of-53 5.6 GB: 21-of-53 5.6 GB: 22-of-53 5.6 GB: 23-of-53 5.6 GB: 24-of-53 5.6 GB: 25-of-53 5.6 GB: 26-of-53 5.6 GB: 27-of-53 5.6 GB: 28-of-53 5.6 GB: 29-of-53 5.6 GB: 30-of-53 5.6 GB: 31-of-53 5.6 GB: 32-of-53 5.6 GB: 33-of-53 5.6 GB: 34-of-53 5.6 GB: 35-of-53 5.6 GB: 36-of-53 5.6 GB: 37-of-53 5.6 GB: 38-of-53 5.6 GB: 39-of-53 5.6 GB: 40-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 501B A23B MXFP4 capabilities

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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 501B A23B MXFP4

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
...1.0 501B A23B EXL3 3bpw 2xGB10	1024K / 0.1 GB	206	1
...1B A23B NVFP4 TP3 3x DGX Spark	1024K / 0.9 GB	34	2
Beam 1.0 REAP 255B A23B	1024K / 424.7 GB	36	1

Note: green Score (e.g. "73.2") means that the model is better than zouaynib/Beam-1.0-501B-A23B-MXFP4.