unsloth/gemma-4-E4B-it-GGUF
image-text-to-text model by unsloth
From the publisher
Model card & documentation
Source previewRead the publisher’s intended use, setup instructions, evaluations and limitations. The original model card is the source of truth.
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…
Read the full model card ↗ · Preview checked 2026-09-30T06:52:17.705Z
Inside the original model card — Document outline
- Read our How to Run Gemma 4 Guide!
- Models Overview
- Dense Models
- Mixture-of-Experts (MoE) Model
- Benchmark Results
- Core Capabilities
- Getting Started
- Best Practices
- 1. Sampling Parameters
- 2. Thinking Mode Configuration
- 3. Multi-Turn Conversations
- 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.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-30T06:39:14.347Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.