AIArchiveInfo/Muse-Glimmer-30B-ExecuTorch-PTE
image-text-to-text model by AIArchiveInfo
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Model card & documentation
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Authors: Meta Superintelligence Lab Model Release Date: August 2026 License: Apache 2.0 Muse Glimmer is a 30-billion-parameter causal language model with a dedicated perception encoder, distilled from Muse Spark and purpose-built for autonomous agentic tasks on consumer hardware. The model integrates multi-step reasoning, reliable tool use, multimodal understanding, and failure recovery into a single model that runs locally without requiring cloud infrastructure or network access. Why an export, rather than a per-backend port. Local runtimes usually reimplement a model by hand for each target they support. That holds up for a plain text transformer; it does not hold up for a novel architecture with multimodal input and block-diffusion speculative decoding, where every backend would need its own rewrite of all three. ExecuTorch inverts that: the model and its decoding strategy are written once in PyTorch, and torch.export lowers the whole graph ahead of time — Triton on CUDA, MLX-native and…
Read the full model card ↗ · Preview checked 2026-09-21T07:00:40.103Z
Inside the original model card — Document outline
- Muse Glimmer 30B — ExecuTorch PTE
- ⚠️ Read this before you download
- What's in this repo
- What each directory contains
- Shared files at the repo root
- Download sizes (per directory, .pte + .ptd + posembed.bin)
- Pick a variant
- Download one variant
- Build the runner
- Serve
- CUDA (sm80+ptx) — both --model-path and --data-path
- Metal — self-contained .pte, no --data-path
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Model overview
AIArchiveInfo/Muse-Glimmer-30B-ExecuTorch-PTE is a image-text-to-text model repository published by AIArchiveInfo on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-21T06:31:54.000Z
- Last modified
- 2026-09-21T06:31:55.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: meta-models/Muse-Glimmer-30B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:48.800Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.