Gemma 4 26B A4B
Catalogue summary: Gemma 4 MoE flagship-for-workstations: 26B total with ~4B active parameters. 256K context and excellent quality-per-watt for local inference. Apache 2.0.
Repository editorial metadata; verify comparative claims in the linked upstream material.
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Verified source status
LocalClaw verified a public model card for Gemma 4 26B A4B on 2026-09-07, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.
Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.
Source availability
Catalogue record
- Family: gemma
- Parameters: 26B (A4B active)
- Recommended quantization: Q4_K_M
- Catalogue minimum RAM: 24 GB
- Catalogue model size: 16 GB
- Tags: chat, code, reasoning, power, multimodal, general
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
- code
- reasoning
- power
- multimodal
- general
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.