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feat(gallery): add Nemotron 3.5 Lightning 30B
Add the official llama.cpp GGUF builds for NVIDIA Nemotron 3.5 Lightning 30B-A3B, linking Q4_K_M, NVFP4, and Q8_0 as installable variants. Assisted-by: Codex:gpt-5
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gallery/index.yaml

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---
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- &nemotron-3-5-lightning-30b-a3b
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name: "nemotron-3.5-lightning-30b-a3b-q4"
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variants:
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- model: nemotron-3.5-lightning-30b-a3b-nvfp4
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- model: nemotron-3.5-lightning-30b-a3b-q8
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url: "github:mudler/LocalAI/gallery/virtual.yaml@master"
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urls:
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- https://huggingface.co/nvidia/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16
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- https://huggingface.co/ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF
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description: |
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NVIDIA Nemotron 3.5 Lightning is a text-only hybrid Mamba-2, attention, and
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mixture-of-experts model with 30B total parameters and 3B active parameters.
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It targets reasoning, coding, tool use, multilingual chat, and long-context
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agent workflows, with a context window of up to one million tokens.
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This entry uses the official Q4_K_M GGUF. Automatic variant selection can
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choose the smaller NVFP4 build or the higher-quality Q8_0 build when it fits.
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license: "openmdw-1.1"
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tags:
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- llm
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- gguf
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- cpu
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- gpu
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- reasoning
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- coding
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- agent
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- tools
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- multilingual
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- long-context
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last_checked: "2026-08-12"
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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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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_K_M.gguf
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temperature: 1.0
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top_p: 0.95
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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/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_K_M.gguf
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uri: huggingface://ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q4_K_M.gguf
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sha256: 6110e2e2e6cd324e6ee69ddced5a6b34fad6c94ca9827222a1e420fb92e3c90b
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- !!merge <<: *nemotron-3-5-lightning-30b-a3b
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name: "nemotron-3.5-lightning-30b-a3b-nvfp4"
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variants: []
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description: |
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NVIDIA Nemotron 3.5 Lightning 30B-A3B in the official NVFP4 GGUF format.
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This is the smallest linked build and retains the model's reasoning, coding,
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tool-use, multilingual, and long-context capabilities.
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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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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4.gguf
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temperature: 1.0
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top_p: 0.95
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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/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4.gguf
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uri: huggingface://ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-NVFP4.gguf
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sha256: 7827805ae9f2d20cc71e46bf05d9cb045e222d3fa0429363c324bbf6d3cab959
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- !!merge <<: *nemotron-3-5-lightning-30b-a3b
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name: "nemotron-3.5-lightning-30b-a3b-q8"
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variants: []
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description: |
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NVIDIA Nemotron 3.5 Lightning 30B-A3B in the official high-quality Q8_0
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GGUF format for hosts with enough memory.
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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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options:
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- use_jinja:true
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parameters:
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model: llama-cpp/models/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q8_0.gguf
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temperature: 1.0
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top_p: 0.95
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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/nemotron-3.5-lightning-30b-a3b/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q8_0.gguf
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uri: huggingface://ggml-org/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-GGUF/NVIDIA-Nemotron-3.5-Lightning-30B-A3B-Q8_0.gguf
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sha256: 8544826247d087745baf4e7540f6911608a61caba7a16702314946af5e4235ae
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- &muse-glimmer-30b
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name: "muse-glimmer-30b"
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variants:

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