Gemma 4 (E4B, Q4)
Google's edge-optimized Gemma 4 at ~4B effective parameters. Multimodal (text + image + audio), native tool calling. Quantization-aware-trained 4-bit weights — a strong compact default that leaves room to work on a 16GB laptop.
At a glance
- Parameters
- 8B
- Quantization
- UD-Q4_K_XL
- Context window
- 128K tokens
- Approx. size
- 4.2 GB
- Engines
- llama.cpp, MLX, Ollama
- License
- Apache-2.0 (open)
- Version
- v1.3.0 , released 2026-08-28
- Family
- gemma
Tuning
Defaults a gezel client applies out of the box, from real evaluation runs against this exact quantization.
- sampling.temperature
1- sampling.topP
0.95- sampling.topK
64- sampling.maxTokens
8192- sampling.repetitionPenalty
1.1- sampling.repetitionContext
20- reasoning.thinkingBudget
2048- reasoning.enableThinking
true- profiles
- thinking-general, thinking-coding, thinking-precise, instruct, creative
Model behaviors
Client-side behavior modules the catalog enables for this model (reasoning-tag handling, fabrication detection, prompt shaping).
- reasoning.strip-channel-tags
- prompt.private-reasoning-guidance
- prompt.tool-cookbook-condensed
- prompt.meester-build-prelude
- fabrication.detect-past-tense-no-tools
- fabrication.detect-claim-without-tool
- turn.auto-acknowledge-tool-errors
- mcp.compact-tool-schemas
- mcp.relax-required-fields
- mcp.default-missing-fields
- turn.preamble-folding
- turn.ramble-detection
- parse.gemma-special-token
- prompt.prefer-writefile-edits
- prompt.derive-by-execution
- tools.mlx-grammar
- tools.mlx-template-fix
Sources
- llama.cpp (GGUF)
- unsloth/gemma-4-E4B-it-qat-GGUF ·
gemma-4-E4B-it-qat-UD-Q4_K_XL.gguf· UD-Q4_K_XL - MLX
- mlx-community/unsloth-gemma-4-E4B-it-qat-oQ4
- Ollama
gemma4:e4b- Upstream
- https://huggingface.co/google/gemma-4-E4B-it
- Manifest
- View on GitHub
Tags
- multimodal
- vision
- audio
- tools
- qat