Resources

LM Studio launched Muse Glimmer support, reporting it completed 83.3% of tasks on its 18-task BionicBench v0.1 versus 77.7% for Gemma 4 31B and Qwen 3.6 27B.

PostFast's sourced catalog of every known Muse connector: launch partners, Meta's own connectors, post-launch additions like Notion, Granola, Spotify and Railway, and announced-but-not-live ones.

Pre-exported ExecuTorch PTE artifacts of Muse Glimmer 30B from Meta, lowered and optimized for specific target backends.

Marc Berman runs a four-turn guided Three.js Headless Horseman build. Muse Spark 1.1 made the most convincing pumpkin head, but its mesh count jumped from 58 to 106, which raises efficiency and editability questions.

Federico Ramirez uses Muse Code and Spark 1.3 for GitHub issue-to-PR workflows. He finds output readable and $15/month good for 2-4 hours of continuous coding, but skill execution inconsistent and the sandbox too restrictive.

The smallest and fastest MLX 4-bit (group size 64) Muse Glimmer checkpoint, served with SGLang's MLX backend on Macs with 48 GB+ unified memory.

Mika Reyes lists eight Muse workflows with ready-made prompts for creators: ranking Instagram insights, triaging DMs, learning your voice for captions and repurposing content while you film.

Simon Willison notes Muse Spark 1.1 is the first Spark model with an API and that Meta claims big gains in agentic tool calling and computer use.

DSpark drafter warm-started from Meta's DFlash assistant, adding a rank-256 Markov head and a confidence head (about 103M new parameters).

Refusal-removed Muse Glimmer 30B; the card reports refusals falling from 128/150 (85.3%) to 3/150 (2.0%) on harmful prompts with 0/75 over-refusals.

GGUF conversions of Inco AI's DFlash 2 draft model for Muse Glimmer 30B, for speculative decoding in llama.cpp.

QLoRA adapter that teaches Muse Glimmer 30B to return click points on web screenshots from instructions, trained on the MolmoWeb dataset.

Artificial Analysis puts Muse Spark 1.1 at 51 on its Intelligence Index, 8 points above 1.0, and calls it cost and token efficient versus peers.

Valiant Labs' Esper 4 agentic coding fine-tune of Muse Glimmer 30B.

Independent benchmarks and analysis of Meta's open-weight Muse Glimmer.

Solo-built GGUF line of Muse Glimmer 30B with custom calibration, per-tensor allocations and an eval harness behind every reported number.

Composio compares Muse Code and OpenAI Codex on pricing, models, agent architecture, extensibility, safety and open-source support.

GGUF quantizations of the Inco AI DFlash2 drafter for Muse Glimmer 30B, for use with the BeeLlama.cpp llama.cpp fork.

Independent benchmarks and analysis of Muse Spark 1.2, released alongside Muse Code.

AgentMail argues Gmail was built for a person at a keyboard, not an agent on a cloud VM at 5am, and makes the case for a separate agent inbox.

Malwarebytes reports Patrick Wardle's finding that a local app can change an undocumented Muse setting to redirect dictation traffic, exposing voice prompts and account auth tokens.

KGP Talkie ran three local models on sixteen hard problems on one RTX 5090, comparing accuracy, speed, VRAM and failure modes.

Mouse asked Muse to archive the files it could see and send them to Google Drive; the agent complied and sent back 6.8 GB of its runtime.

ROCmFP4 GGUF of Muse Glimmer 30B with DFlash for AMD Strix Halo, requiring a ROCmFPX llama.cpp fork that adds the muse-glimmer architecture.

Simon Willison's notes on Muse Spark, Meta's first model since Llama 4: hosted, not open weights, with a private API and interesting tools in meta.ai chat.

QUASAR-trained Blackwell W4A4 build of Muse Glimmer 30B at 21.8 GiB, reporting 20% lower KL to BF16 than Red Hat's NVFP4 W4A4 checkpoint.

RuntimeWire finds Muse Spark 1.1 ahead of GLM 5.2 on harder, failure-prone tasks, with GLM the tidier formatter in spots.

CellCog explains the Muse connector platform: a three-step describe/review/list flow at muse.ai/platform, directory vs custom connectors, and Stripe Link payments.

LoRA adapter for Muse Glimmer 30B that makes responses predictable machine-readable JSON with a stable API-style envelope.

DeepLearning.AI's The Batch covers Muse's security design (isolated VMs, the Sentinel credential layer, prompt-injection classifiers) and its free tier of up to 100M tokens a week.

freeCodeCamp's write-up of its three-hour Muse course by Andrew Brown, covering model benchmarks, API integrations, agent frameworks, the Muse Code harness, and a Go/SQLite/Docker full-stack build.

Muse Glimmer 30B fine-tuned on agentic coding traces and chat distilled from Claude Fable 5, merged bf16 and drop-in for the base.

Motion Labs shows how to connect a product catalog to Advantage+ Catalog Ads and the Meta Model API with Muse Spark 1.1, plus compliance checks for agencies.

DFlash2 drafter for Muse Glimmer 30B fine-tuned on long-horizon, on-policy software-engineering traces to speed up coding workloads.

NVIDIA's technical blog reports Muse Glimmer serving over 20K tokens/sec on a single Blackwell Ultra GPU and covers RTX 5090, DGX Spark, DGX Station and Jetson deployments.

Artificial Analysis' independent benchmark write-up of Muse Spark 1.3.

Kingy AI explains Muse Glimmer's benchmarks, 24-64 GB hardware needs, GGUF setup, pricing, runtimes and risks.

Unsloth's docs page for running Meta's Muse Glimmer 30B locally with its GGUF quants.

MindStudio notes Muse Spark 1.3 topped DeepSWE at 75.4 and placed third on Artificial Analysis, yet in a hands-on game-clone test produced "a cube shooting at other cubes."

KGP Talkie benchmarks generation speed, VRAM use and long-context behavior for both models on one RTX 5090.