gemma4-52b-a6b-canopy is an alternate production-evaluation build in the Gemma4-52B-A6B line. It uses the same expanded Gemma4 MoE backbone as the primary release, with an alternate evaluation profile for SWE and agentic workloads.

This is a full model checkpoint, not a LoRA adapter.

Model Details

Base model: unsloth/Gemma-4-26B-A4B-it
Architecture: Gemma4 MoE
Total logical parameters: approximately 50.6B
Active parameters: approximately 6B
Expert layout: 128 base experts + 128 added specialist experts
Native context length: 256k tokens
Validated local serve window: 131k tokens
Primary focus: SWE, code/repository analysis, agentic workflows, and reasoning
Recommended temperature: 0.5 to 0.7

Serving

Use the included Gemma4 chat template. Thinking mode is intended to be enabled.

bash

CUDA_VISIBLE_DEVICES=0 \
vllm serve . \
  --served-model-name gemma4-52b-a6b-canopy \
  --host 0.0.0.0 \
  --port 23333 \
  --dtype bfloat16 \
  --tensor-parallel-size 1 \
  --max-model-len 131072 \
  --gpu-memory-utilization 0.88 \
  --trust-remote-code \
  --reasoning-parser gemma4 \
  --tool-call-parser gemma4 \
  --enable-auto-tool-choice \
  --chat-template ./chat_template.jinja \
  --default-chat-template-kwargs '{"enable_thinking": true}'

OpenAI-compatible endpoint:

http://localhost:23333/v1

Notes

Canopy is best treated as an evaluation sibling of the primary gemma4-52b-a6b release rather than a replacement.

Feedback is welcome. If you notice specific strengths, failures, or behavioral differences versus the primary build, please share them through the model discussion page or the usual Hugging Face repository feedback channels.

LLMWildling/gemma4-52b-a6b-canopy

Gemma4-52B-A6B Canopy

Model Details

Serving

Notes

LLMWildling/
gemma4-52b-a6b-canopy