Llama 4 Scout (17B/109B MoE)
Catalogue summary: Meta Llama 4 Scout — natively multimodal MoE with 16 experts. 10M-token context window. Outperforms Gemma 3 and Mistral Small on most benchmarks at similar active cost. Llama 4 Community License.
Repository editorial metadata; verify comparative claims in the linked upstream material.
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Verified source status
LocalClaw verified a gated model card for Llama 4 Scout (17B/109B MoE) on 2026-09-07. Access approval or licence acceptance is required, and no public GGUF install path is claimed.
The model card is gated and may require account approval or licence acceptance. No public GGUF file was verified, so LocalClaw does not publish an LM Studio or one-click installation path.
Access and source status
Catalogue record
- Family: llama
- Parameters: 109B (17B active, 16 experts)
- Recommended quantization: Q4_K_M
- Catalogue minimum RAM: 96 GB
- Catalogue model size: 65 GB
- Tags: chat, vision, reasoning, multimodal, power
Practical limits
- Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
- Speed and memory use vary by quantization, backend, context length and system headroom.
- Verify architecture, licence and usage restrictions in the linked upstream material before deployment.
Catalogue tags
- chat
- vision
- reasoning
- multimodal
- power
Capability profile
Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.
Technical notes
Related catalogue entries
Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.