Entries matching “guide”

Unsloth AI

@UnslothAI

Meta releases Muse Glimmer, a new 30B open model that runs on 18GB RAM. Muse Glimmer is Apache 2.0 licensed, supports vision and is the strongest agentic model for its size. Run and train the model via Unsloth. GGUF: huggingface.co/unsloth/Muse-G… Guide: unsloth.ai/docs/models/mu…

Meta for Developers

@MetaforDevs

AI developers - we’ve published a technical guide covering how to get started with Muse Spark on Meta Model API. Muse Spark is a multimodal reasoning model built for agentic tasks, coding, computer use and long-context workflows. See what you can build 👉 bit.ly/4vWMkZx

Wavect's guide covers Glimmer's hardware targets (24–32GB) and tool-use scores such as MCP-Atlas 75.5 and SWE-Bench Pro 51.2, and recommends a 20–30 task pilot before production.

Wavect's buyer guide to Muse Code pricing, training-data rights, client repositories, agency margins and routing workloads safely.

AI at Meta

@AIatMeta

Muse Spark 1.2 supports a broad range of multimodal tasks, from turning visuals into working code to translating perception into physical action. It also brings robust audio-visual understanding to enable video-heavy workflows common in real-world enterprise use. Today, we’re

AgentMail's guide: tell Muse to get an AgentMail address, paste an API key into its Secrets tab, approve the connection and send a test; about five minutes, no code.

OpenTools maintains a source-backed directory of about 163 Muse connector setup guides, separating Meta-documented, partner-documented and community skills (e.g. HubSpot, Attio, Ashby, Plaid, Slack), with status labels such as draft or maintainer-tested.

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.

Danny

@ohanaspeaking

It built a great training guide for a race I’m doing in December I asked it to update the guide whenever I go for a run and it made a Strava connector for itself to auto update everything

+2

Unsloth Dynamic 2.0 GGUF quants of Muse Glimmer 30B with a companion run guide and thinking toggles.

Mermail

@Mermailapp

🫡 we are here mermail.app/blog/give-muse…

Motion Labs covers free access on meta.ai, the paid API, pricing, features and use cases for Muse Spark 1.1.

Stackademic covers the architecture of Muse connectors, how to design connector actions, prompt-injection risk, and whether building one is worth it now that the platform is open.

@evangit2

@evangit2

A guide and tooling for pointing Muse Code's meta provider at any OpenAI-compatible gateway with API-key auth and no Meta login, including workarounds for 1.0.1's bearer-withholding change.

Matt Naughton's merchant guide to Muse as a Shopify AI channel: where the Agentic toggles live, what direct checkout does, and why browser pixels don't fire on Meta-side checkout, so only server-to-server events count.

This time I used muse spark 1.3 model. I gave them names from TMNT series. Four of the agents were on the same host, and fifth was on another. We can say that they failed at this task, but with a user guide, they were finally able to find each other. Here are the details.

Meta's developer guide to first calls, coding primitives and agentic patterns; its multi-agent recipe turns a one-line idea into an app plus launch package, and Spark fixed all 5 planted bugs in 7.6 turns on average.

Plaid powers Muse's finances connector, letting users share balances, transactions, investments and mortgage data with their agent. Plaid covers 12,000+ US institutions.