hugging-quants/gemma-2-9b-it-AWQ-INT4
text-generation model by hugging-quants
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Model card & documentation
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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. They are text-to-text, decoder-only large language models, available in English, with open weights for both pre-trained variants and instruction-tuned variants. Gemma models are well-suited for a variety of text generation tasks, including question answering, summarization, and reasoning. Their relatively small size makes it possible to deploy them in environments with limited resources such as a laptop, desktop or your own cloud infrastructure, democratizing access to state of the art AI models and helping foster innovation for everyone. This repository contains google/gemma-2-9b-it quantized using AutoAWQ from FP16 down to INT4 using the GEMM kernels performing zero-point quantization with a group size of 128. In order to use the current quantized model, support is offered for different solutions as transformers, autoawq, or text-generation-inference. In order to run the…
Read the full model card ↗ · Preview checked 2026-11-09T07:01:55.994Z
Inside the original model card — Document outline
- Model Information
- Model Usage
- 🤗 Transformers
- AutoAWQ
- 🤗 Text Generation Inference (TGI)
- vLLM
- Quantization Reproduction
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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
hugging-quants/gemma-2-9b-it-AWQ-INT4 is a text-generation model repository published by hugging-quants 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
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 799,899
- Cumulative likes
- 10
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 9,241,705,984
- Architecture
- Gemma2ForCausalLM
- License
- gemma
- Access
- Not gated by Hugging Face
- Created
- 2024-10-15T15:17:54.000Z
- Last modified
- 2024-10-17T08:31:37.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google/gemma-2-9b-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 2026-11-09T06:56:47.768Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.