unsloth/gemma-4-E4B-it-GGUF

image-text-to-text model by unsloth

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Gemma is a family of open models built by Google DeepMind. Gemma 4 models are multimodal, handling text and image input (with audio supported on small models) and generating text output. This release includes open-weights models in both pre-trained and instruction-tuned variants. Gemma 4 features a context window of up to 256K tokens and maintains multilingual support in over 140 languages. Featuring both Dense and Mixture-of-Experts (MoE) architectures, Gemma 4 is well-suited for tasks like text generation, coding, and reasoning. The models are available in four distinct sizes: E2B, E4B, 26B A4B, and 31B. Their diverse sizes make them deployable in environments ranging from high-end phones to laptops and servers, democratizing access to state-of-the-art AI. Gemma 4 introduces key capability and architectural advancements: Gemma 4 models are designed to deliver frontier-level performance at each size, targeting deployment scenarios from mobile and edge devices (E2B, E4B) to consumer GPUs and workstations…

unsloth/gemma-4-E4B-it-GGUF on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Read our How to Run Gemma 4 Guide!
  2. Models Overview
  3. Dense Models
  4. Mixture-of-Experts (MoE) Model
  5. Benchmark Results
  6. Core Capabilities
  7. Getting Started
  8. Best Practices
  9. 1. Sampling Parameters
  10. 2. Thinking Mode Configuration
  11. 3. Multi-Turn Conversations
  12. 4. Modality order

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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

Model overview

unsloth/gemma-4-E4B-it-GGUF is a image-text-to-text model repository published by unsloth on Hugging Face. A library was not reported.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-text
Library
Not reported
Recent downloads (30 days)
617,705
Cumulative likes
636
Hugging Face trending score
6
Reported safetensors parameters
Not reported
Architecture
Gemma4ForConditionalGeneration
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-04-01T14:42:04.000Z
Last modified
2026-07-17T12:49:21.000Z

Compatibility and lineage

Language coverage was not reported.

Reported base models: google/gemma-4-E4B-it

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-30T06:39:14.347Z. Daily imports are snapshots, not real-time monitoring.

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