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Muse Glimmer 30B model context extended to 1M tokens with perfect retrieval

A user has successfully extended the context window of the Muse Glimmer 30B model to 1 million tokens, significantly surpassing its trained 131K context length. This was achieved using the YaRN context extension method and verified through a needle-in-haystack test, which confirmed perfect retrieval even at 832K tokens. The model's unique architecture, featuring positional encoding only on sliding window layers and no positional encoding on global layers, is theorized to be key to its ability to handle such extended contexts without performance degradation. AI

IMPACT Demonstrates potential for extending context windows of existing models, enabling more complex tasks and longer-form content generation.

RANK_REASON User-driven research demonstrating extended context window capabilities of an existing model. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Muse Glimmer 30B model context extended to 1M tokens with perfect retrieval

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/StartupTim ·

    I ran Muse Glimmer @ 1M context - All tests passed.

    <!-- SC_OFF --><div class="md"><p>Heeeey all! I just completed some fun tests with Muse Glimmer, I thought I'd let you know. In fact, the summary below was written by Muse itself!</p> <p>I ran a 2× DGX Spark cluster and got Meta's day-old Muse Glimmer 30B running the day after re…