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chore(model gallery): 🤖 add new models via gallery agent
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gallery/index.yaml

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---
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- name: "muse-glimmer-30b"
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF
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description: |
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# Muse Glimmer Model Card
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**Authors:** Meta Superintelligence Lab
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**Model Release Date:** August 2026
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**License:** Apache 2.0
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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.
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Building effective agents requires key capabilities working together to achieve the user’s goals. Muse Glimmer is trained and evaluated on these capabilities:
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...
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license: "apache-2.0"
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tags:
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- llm
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- gguf
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overrides:
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backend: llama-cpp
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function:
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automatic_tool_parsing_fallback: true
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grammar:
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disable: true
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known_usecases:
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- chat
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mmproj: llama-cpp/mmproj/dflash-kquant/mmproj-kquant.gguf
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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/dflash-kquant/dflash-kquant.gguf
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template:
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use_tokenizer_template: true
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files:
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- filename: llama-cpp/models/dflash-kquant/dflash-kquant.gguf
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sha256: 27d9a805fa29b943cfb6ad4843367cd4eaaaf06bd452d8cc3e00a2cd18a677bc
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uri: https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF/resolve/main/dflash-kquant.gguf
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- filename: llama-cpp/mmproj/dflash-kquant/mmproj-kquant.gguf
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sha256: f48b452316f9b213758e8659444029b961a24a07f99a1abb2a9f88b06f7c00c6
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uri: https://huggingface.co/unsloth/Muse-Glimmer-30B-GGUF/resolve/main/mmproj-kquant.gguf
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- &qwen3-5-9b-defiant-fable
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name: "qwen3.5-9b-defiant-fable-mtp"
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variants:

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