gaunernst/gemma-3-27b-it-int4-awq
image-text-to-text model by gaunernst
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Model card & documentation
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This is the QAT INT4 Flax checkpoint (from Kaggle) converted to HF+AWQ format for ease of use. AWQ was NOT used for quantization. You can find the conversion script convertflax.py in this model repo. NOTE: this is NOT the same as the official QAT INT4 GGUFs released here https://huggingface.co/collections/google/gemma-3-qat-67ee61ccacbf2be4195c265b Below is the original Model card from https://huggingface.co/google/gemma-3-27b-it Model Page: Gemma Resources and Technical Documentation: Terms of Use: Terms Authors: Google DeepMind Summary description and brief definition of inputs and outputs. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models. Gemma 3 models are multimodal, handling text and image input and generating text output, with open weights for both pre-trained variants and instruction-tuned variants. Gemma 3 has a large, 128K context window, multilingual support in over 140 languages, and is available in more sizes than previous…
Read the full model card ↗ · Preview checked 2026-10-30T06:13:26.241Z
Inside the original model card — Document outline
- Gemma 3 27B Instruction-tuned INT4
- Gemma 3 model card
- Model Information
- Description
- Inputs and outputs
- Usage
- Running with the pipeline API
- Running the model on a single/multi GPU
- Citation
- Model Data
- Training Dataset
- Data Preprocessing
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Documentation belongs to its respective authors. Reported project/model license: gemma. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
gaunernst/gemma-3-27b-it-int4-awq is a image-text-to-text model repository published by gaunernst 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)
- 797,421
- Cumulative likes
- 50
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 27,432,406,640
- Architecture
- Gemma3ForConditionalGeneration
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2025-03-21T14:11:46.000Z
- Last modified
- 2025-04-06T03:06:57.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: google/gemma-3-27b-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 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.