MODEL PROFILE

Beam-1.0-501B-A23B-NVFP4

reflection · Beam-1.0-501B-A23B-NVFP4

Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This checkpoint contains the NVFP4-quantized instruction-tuned model. The Beam release also includes BF16 and FP8 checkpoints. 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. This checkpoint was created using post-training quantization (PTQ) with NVIDIA Model Optimizer (ModelOpt) . We’re grateful to Jinze Xue, Matthew Radzihovsky, Zhiyu Cheng and Trenton Starkey at NVIDIA for their valuable guidance and support in developing and refining our quantization recipes.

Text generationreasoningcodelicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 06:46:50
OVERVIEW

Model overview

Beam is an open model built by Reflection. Beam takes text as input and generates text as output. This checkpoint contains the NVFP4-quantized instruction-tuned model. The Beam release also includes BF16 and FP8 checkpoints. 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. This checkpoint was created using post-training quantization (PTQ) with NVIDIA Model Optimizer (ModelOpt) . We’re grateful to Jinze Xue, Matthew Radzihovsky, Zhiyu Cheng and Trenton Starkey at NVIDIA for their valuable guidance and support in developing and refining our quantization recipes.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

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PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。