reflection/Beam-1.0-501B-A23B

text-generation model by reflection

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Hugging Face | GitHub | Launch Blog | Documentation | Technical Report (coming) License: Apache 2.0 | Authors: Reflection Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This release includes the instruction-tuned model in BF16, FP8, and NVFP4 numerics. Beam uses a sparse mixture-of-experts (MoE) architecture with 501B total parameters and 23B active parameters. It supports a context window of 1M tokens and was developed predominantly for English. Beam models are designed to deliver strong performance for areas such as agentic tool use, coding and general reasoning with an emphasis on token efficient usage. Property Beam 501B A23B MoE Total Parameters 501.3B Active Parameters 23.4B Layers 52: 3 dense + 49 MoE Attention Gated GQA + Sliding Window Attention Context Length 1M Vocabulary Size 152k tokens Expert Count 256 Supported Modalities Text Chat Template Modified Harmony format Numerics BF16, FP8,…

reflection/Beam-1.0-501B-A23B on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Primary capabilities
  2. Model Overview
  3. Benchmark Results
  4. Evaluating Beam
  5. Model Data
  6. Safety & Alignment
  7. Usage
  8. Reporting
  9. Citation

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

reflection/Beam-1.0-501B-A23B is a text-generation model repository published by reflection on Hugging Face. A library was not reported.

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Model facts

Task
text-generation
Library
Not reported
Recent downloads (30 days)
7,231
Cumulative likes
285
Hugging Face trending score
66
Reported safetensors parameters
501,267,612,352
Architecture
BeamForCausalLM
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-10-07T19:52:01.000Z
Last modified
2026-10-27T20:35:55.000Z

Compatibility and lineage

Reported languages: en

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Model card and usage instructions

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Source: Hugging Face Hub. Metadata observed 2026-10-29T06:47:43.046Z. Daily imports are snapshots, not real-time monitoring.

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