What are the hardware requirements for Beam 1.0 501B A23B FP8?

Beam 1.0 501B A23B FP8 requires approximately 120.3 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 FP8 and how large is it?

Beam 1.0 501B A23B FP8 is developed by reflection, 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 FP8?

Beam 1.0 501B A23B FP8 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 FP8 by reflection — VRAM 120.3GB, 1024K context

Name: Beam 1.0 501B A23B FP8
Author: reflection

Beam 1.0 501B A23B FP8 is an open-source language model by reflection. Features: 501b LLM, VRAM: 120.3GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.38.

Beam Code Compressed-tensors Conversational Deploy:azure Deploy:sagemaker En Fp8 Mixture-of-experts Reasoning Region:us Safetensors Sharded Tensorflow Tool-use

Model Card on HF 🤗: https://huggingface.co/reflection/Beam-1.0-501B-A23B-FP8

Beam 1.0 501B A23B FP8 Parameters and Internals

LLM Name	Beam 1.0 501B A23B FP8
Repository 🤗	https://huggingface.co/reflection/Beam-1.0-501B-A23B-FP8
Model Size	501b
Required VRAM	120.3 GB
Updated	2026-10-20
Maintainer	reflection
Model Type	beam
Model Files	4.2 GB: 1-of-188 2.7 GB: 2-of-188 2.7 GB: 3-of-188 2.7 GB: 4-of-188 2.7 GB: 5-of-188 2.7 GB: 6-of-188 2.7 GB: 7-of-188 2.7 GB: 8-of-188 2.7 GB: 9-of-188 2.7 GB: 10-of-188 2.7 GB: 11-of-188 2.7 GB: 12-of-188 2.7 GB: 13-of-188 2.7 GB: 14-of-188 2.7 GB: 15-of-188 2.7 GB: 16-of-188 2.7 GB: 17-of-188 2.7 GB: 18-of-188 2.7 GB: 19-of-188 2.7 GB: 20-of-188 2.7 GB: 21-of-188 2.7 GB: 22-of-188 2.7 GB: 23-of-188 2.7 GB: 24-of-188 2.7 GB: 25-of-188 2.7 GB: 26-of-188 2.7 GB: 27-of-188 2.7 GB: 28-of-188 2.7 GB: 29-of-188 2.7 GB: 30-of-188 2.7 GB: 31-of-188 2.7 GB: 32-of-188 2.7 GB: 33-of-188 2.7 GB: 34-of-188 2.7 GB: 35-of-188 2.7 GB: 36-of-188 2.7 GB: 37-of-188 2.7 GB: 38-of-188 2.7 GB: 39-of-188 2.7 GB: 40-of-188 2.7 GB: 41-of-188 2.7 GB: 42-of-188 2.7 GB: 43-of-188 2.7 GB: 44-of-188
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 FP8 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 501B A23B FP8

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

Note: green Score (e.g. "73.2") means that the model is better than reflection/Beam-1.0-501B-A23B-FP8.