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Muse Glimmer LLM fails basic coding task, user compares unfavorably to Qwen

A user on the r/LocalLLaMA subreddit shared a disappointing experience with the Muse Glimmer large language model. When tasked with creating a single HTML file for an 8-ball pool game, the model reportedly consumed 21,000 tokens of its 128,000 token context window but only produced a 220-line HTML file, indicating it did not complete the task. The user compared this performance unfavorably to Qwen 3.6 27B, expressing surprise given their initial hopes for Muse Glimmer. AI

IMPACT User feedback suggests Muse Glimmer may not meet expectations for complex coding tasks compared to existing models.

RANK_REASON User experience and opinion on an LLM, not an official release or benchmark.

Read on r/LocalLLaMA →

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

Muse Glimmer LLM fails basic coding task, user compares unfavorably to Qwen

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/BarberIcy366 ·

    Please Share Your Experience About Muse Glimmer

    <!-- SC_OFF --><div class="md"><p>I have a classic test for local LLM's. I asked for 8 ball pool game with only one HTML file and Muse Glimmer spend 21k Token(I m using full context so 128k) and only created a 220 lines of HTML and said its done. With my experience its not even c…