LOADING DATASHEET
LOADING DATASHEET
by Meta
RANKED #63 OF 267 ASSISTANTS · OVERALL #100 OF 6,544 · VIBE SCORE 6.4 · 206 VOICES
A fast and dependable AI model from Meta built for local writing and coding assistance.
38 mentions
12 mentions
26 weeks · 435 voices
HOLDING UP
Recent vibe is steady. No clear fade in the crowd.
Open weights. You can use a hosted service, or download it and run it yourself, free.
Open weights: download Muse Glimmer 30B once and it's yours. No subscription, no rate limits, works offline.
29.6B parameters, a Q4 file is about 16.8 GB (approaches 20 GB with perception encoder and DFlash files)
NVIDIA GeForce RTX 3060 12GB (with 32GB system RAM)
12 GB VRAM + 32 GB RAM
~$220 USEDQ3_K_M or Q4_K_M with hybrid CPU/GPU offload, ~5-8 tok/s, 8k context
NVIDIA GeForce RTX 3090 24GB
24 GB VRAM
~$850 USEDQ4_K_M or Q5_K_M fully in VRAM, ~25-30 tok/s, 32k context
Apple Mac Studio M2 Max (64GB Unified Memory)
64 GB UNIFIED MEMORY
~$1,800 USEDQ8 or FP16 precision, full 128k context, ~15 tok/s
The three cards above are researched picks. Search the machine you actually have — we only say yes if it should reply at a usable speed, not just load the weights and crawl.
HARDWARE PICKS & PRICES ARE RESEARCHED FROM THE LIVE WEB AND REFRESHED AUTOMATICALLY. TREAT THEM AS BALLPARK, NOT GOSPEL.
Everyday jobs on each of those rigs: how long Muse Glimmer 30B takes, and how good the crowd says it is at that kind of work.
| THE JOB | BARE MINIMUMNVIDIA GeForce RTX 3060 12GB (with 32GB system RAM) | SWEET SPOTNVIDIA GeForce RTX 3090 24GB | FULL POWERApple Mac Studio M2 Max (64GB Unified Memory) |
|---|---|---|---|
| Write an emaila paragraph or two, drafted from a one-line brief | ~77 S★★★★★ | ~18 S★★★★★ | ~33 S★★★★★ |
| Summarize a documenta long report boiled down to the points that matter | ~3.8 MIN★★★★★ | ~55 S★★★★★ | ~1.7 MIN★★★★★ |
| Build a websitea small landing page, markup and styles together | ~21 MIN★★★★★ | ~4.8 MIN★★★★★ | ~8.9 MIN★★★★★ |
| Build a backendan API with routes, storage and tests | ~64 MIN★★★★★ | ~15 MIN★★★★★ | ~28 MIN★★★★★ |
| Build a gamea playable browser game in one file | ~38 MIN★★★★★ | ~9.1 MIN★★★★★ | ~17 MIN★★★★★ |
STARS ARE THE COMMUNITY SCORE FOR THAT KIND OF WORK, DOCKED FOR HOW SQUASHED THE WEIGHTS GET AT EACH TIER. TIMES ARE COMPUTED FROM RESEARCHED SPEEDS. BALLPARK, NOT GOSPEL.
Users find Muse Glimmer 30B to be a fast, dependable, and cost-effective tool that is especially great for coding help. However, many complain that the model can be preachy and refuses prompts too often.
179 POSTS · 27 COMMENTS · REDDIT · BLUESKY · X · DEV.TO · GITHUB · LEMMY · HACKER NEWS · BLOG
7 thumbs up · 0 thumbs down
2 thumbs up · 1 thumbs down
1 thumbs up · 2 thumbs down
“[DGX Spark][Onboard] managed llama.cpp recommends Muse Glimmer 30B whose GGUF weights are region-blocked and undownloadable.”
Checked picks first: tags say why you would switch, stars say how fully each one stands in for Muse Glimmer 30B.
Meta releases Muse Glimmer 30B - a new open model
GLM-5.3 shows how much capability may still be hiding inside today’s largest base models and how relevant post-training
unsloth/Muse-Glimmer-30B-GGUF · Hugging Face
Muse Glimmer ACTUALLY fits on a single RTX 3090
1 Day in and I feel okay saying Muse-Glimmer-30B finally beats 3.6-27B for the size in some use-cases
Meta releases open weights for Muse Glimmer-30B
What a week for AI looks like Muse Glimmer 30b Nemotron 3.5 Lightning Grok Bot Grok 4.6 Qwen 3.8-Max weights GLM-5.3 Qwe
Early signs that Muse-Glimmer-30B might quantize very well? Share your experiences.
What a golden age we’re living in. Grok 4.6 Qwen 3.8-Max Open Gemini 3.7 Flash Muse Glimmer 30B DeepSeek V4 Pro GLM-5.3
Qwen 3.8 27B (dense) running on a single RTX 4090 (24GB VRAM) at 65 tokens/sec decode with MTP! 260,000 context window o
I ran Muse Glimmer @ 1M context - All tests passed.
You can now Fine-tune Meta Muse Glimmer!