AI
reflection/Beam-1.0-501B-A23B · Hugging Face
Publication: top scoring links : multi
Author: /u/jacek2023
Source published: 16/10/2026, 13:23:33 UTC
Briefing created: 25/10/2026, 05:24:20 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 17/10/2026, 00:47:26 UTC.
Briefings
Beam 1.0-501B-A23B, an open-source model developed by Reflection, merged llama.cpp support and introduced sparse MoE architecture with 501B total parameters and 23B active parameters. It supports 1M token context, BF16/FP8/NVFP4 numerics, and agentic coding with 43.3% SWE Bench Pro v2-Hard performance. The model was submitted by jacek2023 to r/LocalLLaMA.
Key points
- Beam 1.0-501B-A23B merged llama.cpp support and introduced sparse MoE architecture with 501B total parameters and 23B active parameters.
- Beam supports 1M token context, BF16/FP8/NVFP4 numerics, and agentic coding with 43.3% SWE Bench Pro v2-Hard performance.
Context
Beam is an open model built by Reflection, designed for agentic tool use, coding, and reasoning. It supports long-horizon task completion, MCP-based tool integration, and browsing, with graduate-level science problem solving capabilities.
Limitations
Evidence is limited to a single GitHub pull request and benchmark results from public splits; no additional background on model deployment or user adoption is supplied.
Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 25/10/2026, 05:24:20 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.
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