unsloth/gemma-4-31B-it-qat-GGUF
image-text-to-text model by unsloth
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Model card & documentation
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This model ships a Multi-Token Prediction drafter at the repo root (mtp-gemma-4-31B-it.gguf, a near-lossless smart Q40). A recent llama.cpp auto-discovers it from -hf, so you do not pass --model-draft: The drafter shares the target's KV cache and does not change the output (the target verifies every drafted token). See the MTP/ folder for the other precisions and explicit usage. 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 E2B, E4B, and 12B) 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 five distinct sizes: E2B,…
Read the full model card ↗ · Preview checked 2026-10-30T23:35:10.410Z
Inside the original model card — Document outline
- Read our How to Run Gemma 4 QAT Guide!
- Run with MTP (speculative decoding)
- 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
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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-4-31B-it-qat-GGUF is a image-text-to-text model repository published by unsloth on Hugging Face. The source reports the transformers library.
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
- transformers
- Recent downloads (30 days)
- 679,320
- Cumulative likes
- 194
- Hugging Face trending score
- 5
- Reported safetensors parameters
- Not reported
- Architecture
- Gemma4ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-06-05T10:35:42.000Z
- Last modified
- 2026-07-17T12:44:49.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-4-31B-it-qat-q4_0-unquantized
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 2026-09-17T06:34:59.564Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.