Description
Beam is an advanced text generation model developed by Reflection, hosted on Hugging Face. It is designed to democratize artificial intelligence through open-source and open science initiatives. Beam employs a sparse mixture-of-experts (MoE) architecture, boasting a total of 501 billion parameters with 23 billion active parameters. This model is instruction-tuned and supports BF16, FP8, and NVFP4 numerics, making it versatile for various computational needs.
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The model is particularly effective in token-efficient reasoning, achieving comparable solution quality to leading models while using significantly fewer inference-time tokens. Beam is adept at resolving real-world software engineering challenges, operating seamlessly in command-line interfaces and DevOps environments. It integrates directly with agentic coding harnesses, supporting code generation across multiple programming languages.
Beam's capabilities extend to agentic tool use, enabling long-horizon task completion and multi-step workflows from natural-language instructions. It excels in graduate-level science problem solving, theorem proving, and applied mathematics, with reasoning quality that enhances debugging, planning, and self-correction during execution.
The model is pretrained on a diverse corpus, including general web content, source code, technical documentation, and educational materials. It undergoes rigorous data processing to ensure quality, including deduplication and evaluation decontamination. Beam's safety and alignment are evaluated through comprehensive safety frameworks, ensuring adherence to safety policies.
Beam is suitable for commercial and research applications, including assistant-style generation, software engineering, and agentic coding tasks. It serves as a robust base model for fine-tuning, supporting responsible AI practices and compliance with legal requirements.
- CategoryAI Models & LLMs
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsWeb
Beam Highlights
Sparse mixture-of-experts architecture
501 billion total parameters
23 billion active parameters
Instruction-tuned model
Supports BF16, FP8, NVFP4 numerics
Token-efficient reasoning
Software engineering capabilities
Agentic tool use
Getting Started with Beam
Access model page: Visit Hugging Face
Authenticate: Log in to your account
Configure: Set up model parameters
Send prompts: Input text for generation
Fine-tune: Adjust model for specific tasks
Beam's Use Cases
- Software Engineering
- Agentic Tool Use
- Scientific Reasoning
- Text Generation
- Code Generation
