LocalClaw/LLM/DiffusionGemma 26B-A4B Instruct
Open-weight MoE

DiffusionGemma 26B-A4B Instruct

Catalogue summary: Official Google Apache 2.0 diffusion-language Gemma model with image-text chat support. Strong local relevance thanks to active Unsloth GGUF quantizations for workstation-class machines.

Repository editorial metadata; verify comparative claims in the linked upstream material.

32 GB catalogue minimum32 GB RAMQ4_K_MReasoning
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Parameters
26B (4B active, diffusion MoE)
Minimum RAM
32 GB
Model size
16 GB
Quantization
Q4_K_M

Can DiffusionGemma 26B-A4B Instruct run locally?

DiffusionGemma 26B-A4B Instruct has a catalogue minimum of 32 GB RAM with Q4_K_M. Actual memory use and speed vary by context length, runtime, backend and system headroom.

Use diffusiongemma-26b-a4b-it as the catalogue search term in a compatible runtime, and confirm the available format on the upstream repository before download.

Model sourcePublic GGUF repository (verified 2026-09-07): unsloth/diffusiongemma-26B-A4B-it-GGUFUpstream releasePaper or model cardLicence text
chatvisionreasoningpowermultimodal

Install path

01
Check RAM fitMinimum 32 GB RAM. Start with the Q4_K_M quant.
02
Load the modelSearch diffusiongemma-26b-a4b-it in LM Studio.
03
Control locallyUse LocalClaw to manage models, agents, chat, channels and scheduled OpenClaw work.

Catalogue record

  • Family: gemma
  • Parameters: 26B (4B active, diffusion MoE)
  • Recommended quantization: Q4_K_M
  • Catalogue minimum RAM: 32 GB
  • Catalogue model size: 16 GB
  • Tags: chat, vision, reasoning, power, multimodal

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
  • power
  • multimodal

Capability profile

Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.

speed
5
quality
8
coding
7
reasoning
8

Technical notes

Developer
Google DeepMind
License
Apache 2.0
Context window
262,144 tokens
Architecture
Diffusion-language Gemma MoE with 26B total parameters, about 4B active parameters and image-text-to-text instruction tuning.

This model fits these next steps

Hardware fit is based on LocalClaw's RAM tier, model size and quantization metadata. Always leave memory headroom for your OS and runtime.

Comfortable headroomMac mini M4 Pro 48GBMobile workstationMacBook Pro M4 Max 36GBPower-user picks32GB RAM guide

Related catalogue entries

Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.

Gemma 4 12B 12BGemma 4 26B A4B 26B (A4B active)Gemma 4 E4B E4BGemma 3 (27B) 27BGemma 4 31B 31BGemma 3 (12B) 12BGemma 4 E2B E2BGemma 2 (27B) 27B

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