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Muse Glimmer

3 articles · Page 1 of 1
Machine Heart
Machine Heart
Aug 11, 2026 · Artificial Intelligence

Meta Revives Open‑Source AI: 30B‑Parameter Muse Glimmer Runs on a Single GPU

Meta has open‑sourced its 29.6‑billion‑parameter Muse Glimmer model under Apache 2.0, offering a 4‑bit quantized version that fits on a single high‑end GPU, while benchmark results show strong agent performance but notable hallucination and accuracy gaps compared with competing models.

AI benchmarksAI safetyLarge Language Model
0 likes · 8 min read
Meta Revives Open‑Source AI: 30B‑Parameter Muse Glimmer Runs on a Single GPU
DataFunTalk
DataFunTalk
Aug 11, 2026 · Artificial Intelligence

Meta Open‑Sources Muse Glimmer: Packing a 30B Model into 24 GB VRAM for Always‑On Local Agents

Meta’s Muse Glimmer is a 30‑billion‑parameter, open‑source dense model engineered to run continuously on consumer‑grade hardware with as little as 24 GB VRAM, using 4‑bit quantization and DFlash speculative decoding to retain multimodal, long‑context and agentic capabilities while achieving up to 233 tok/s throughput.

Muse Glimmeragentic benchmarkslocal agents
0 likes · 10 min read
Meta Open‑Sources Muse Glimmer: Packing a 30B Model into 24 GB VRAM for Always‑On Local Agents
21CTO
21CTO
Aug 11, 2026 · Artificial Intelligence

Meta’s Muse Glimmer Open‑Source Release Revives the Open‑Weight Llama Competition

Meta has unveiled Muse Glimmer, a 30‑billion‑parameter open‑source LLM under Apache 2.0, positioned for agent workloads and benchmarked against Google’s Gemma 4 and Alibaba’s Qwen, while highlighting hardware requirements, performance limits, and the broader strategic implications for U.S. AI policy.

BenchmarkLLMMeta
0 likes · 10 min read
Meta’s Muse Glimmer Open‑Source Release Revives the Open‑Weight Llama Competition