shipwithmuse

Entries matching “limitations”

8 builds · page 1 of 1

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ai.meta.com

ai.meta.com

Meta's Mac app lets Muse work with local files, Messages, Notes, Reminders, Mail and Calendar, with per-app Off / Read only / Read and interact controls.

Site · Errands & personal agent

Muse for Mac

Your product

Sponsored

Put your logo, a line of copy and an image right here, between the builds Muse developers come to read. Same size as a post.

$100/week

Put your product here

Shown every 12 builds · on every catalog page

@HawgAuto

@HawgAuto

Glimmer HD Vision is an OpenAI-compatible proxy that keeps images within Muse Glimmer 30B's 4,096 visual-token limit by sending a 4K image as one overview plus four overlapping detail tiles, with an OCR/layout mode.

GitHub · Local & open models

Glimmer HD Vision OCR proxy

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MajesticAd2862

u/MajesticAd2862

Compared diarization models on 15 mock doctor-patient consultations (~2.4 h): Meta Muse Voice Transcribe scored 13.04% DER at ~92 s per request via API, behind Pyannote (2.89%) and Nemotron 3 (4.80%).

Reddit post · Benchmarks & research

Muse Voice Transcribe tested on clinical diarization

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Ok-Inevitable8391

u/Ok-Inevitable8391

Benchmarked qwen3.8 xhigh, medium and muse glimmer. Xhigh effort mode with qwen3.8 took almost 30hrs. (And still failed on 16 cases because of the 32K output token limit) Medium effort mode and muse glimmer were 3-4 hours each. But I'm actually surprised by the muse glimmer results, they came better than the qwen. These benchmarks are on implicit knowledge of the model, which is a bit unfair to smaller models, but throw in a RAG and I'm sure they get on par with frontier models. I have taken the result of claude models directly from embedeval repo by ecro. I'm not pushing qwen down here, I like how qwen thinks and gives better results. I know with more context and RAG qwen will do better. I'm just appreciating muse here, cause i feel it is underrated. The advantage is efficient kv cache due to sliding window, which can give you more context window.

Reddit post · Benchmarks & research

Glimmer vs Qwen 3.8 on an implicit-knowledge eval

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ImpressiveArt9817

u/ImpressiveArt9817

I'm developing a detailed history book, I'm 333 pages deep, I have used my whole weeks limit and am 8 million deep in my free 1 billion tokens.

Reddit post · Content & creative

A 333-page history book with Muse

Baptiste Dubois

@duboibaptiste

Mine took a cancelled Alaska flight + two Lyft receipts from my email and filed the whole claim: converted email to PDF, fought a broken upload widget (said 2.5MB, real limit 512KB), submitted $189.37 + goodwill. Came back with case number. I just watched. Very smooth, I asked

X post · Errands & personal agent· ♥ 5

Alaska flight claim filed with receipts

Full Value Dan

@fullvaluedan

the $16/month @Muse subscription is a media beast there's no 5-hour limit you can generate: - video w/music - voiceovers - infographics - sound effects - edits with @HyperFrames_ I'm nowhere near my weekly limit even after running aggressive quality check loops

X post · Content & creative· ♥ 65

Muse as a media generation pipeline

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huggingface.co

huggingface.co

A 4-byte GGUF header edit that raises Muse Glimmer 30B's 131,072 context limit to 262K. The author shows YaRN scaling only adds prefill cost on this architecture, and verified 262K with 8 slots on one RTX 4090.

Resource · Local & open models· ♥ 1

Muse Glimmer 30B long-context GGUF patch