What are the hardware requirements for Gemma 7B It AWQ?

Gemma 7B It AWQ requires approximately 7.2 GB of VRAM and supports a context window of 8K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gemma 7B It AWQ and how large is it?

Gemma 7B It AWQ is developed by casperhansen, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Gemma 7B It AWQ?

Gemma 7B It AWQ is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 7B It AWQ by casperhansen — VRAM 7.2GB, 8K context

Name: Gemma 7B It AWQ
Author: casperhansen

Gemma 7B It AWQ is an open-source language model by casperhansen. Features: 7b LLM, VRAM: 7.2GB, Context: 8K, Quantized, LLM Explorer Score: 0.11.

4-bit Awq Conversational Endpoints compatible Gemma Quantized Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/casperhansen/gemma-7b-it-awq

Gemma 7B It AWQ Parameters and Internals

LLM Name	Gemma 7B It AWQ
Repository 🤗	https://huggingface.co/casperhansen/gemma-7b-it-awq
Model Size	7b
Required VRAM	7.2 GB
Updated	2026-05-15
Maintainer	casperhansen
Model Type	gemma
Model Files	6.6 GB: 1-of-2 0.6 GB: 2-of-2
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	GemmaForCausalLM
Context Length	8192
Model Max Length	8192
Transformers Version	4.38.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

Rank the Gemma 7B It AWQ capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Gemma 7B It AWQ

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 1.1 7B It AWQ	8K / 7.2 GB	6	0
Codegemma 7B AWQ	8K / 7.2 GB	8	0
CodeGemma 7B AWQ	8K / 7.2 GB	6	0
SeaLLM 7B V2.5 AWQ	8K / 7.2 GB	5	2
SeaLLM 7B V2.5 AWQ	8K / 5.6 GB	7	0
Gemma Ko 7B AWQ	8K / 5.6 GB	9	0
Codegemma 1.1 7B It AWQ	8K / 7.2 GB	5	0
Gemma 7B It AWQ	8K / 7.2 GB	9	0
Gemma 7B AWQ	8K / 7.2 GB	6	0
...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than casperhansen/gemma-7b-it-awq.