What are the hardware requirements for Gemma 1.1 7B It?

Gemma 1.1 7B It requires approximately 17 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 1.1 7B It and how large is it?

Gemma 1.1 7B It is developed by unsloth, 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 1.1 7B It?

Gemma 1.1 7B It is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 1.1 7B It by unsloth — VRAM 17GB, 8K context

Name: Gemma 1.1 7B It
Author: unsloth

Gemma 1.1 7B It is an open-source language model by unsloth. Features: 7b LLM, VRAM: 17GB, Context: 8K, License: apache-2.0, LLM Explorer Score: 0.12.

Bnb Conversational En Endpoints compatible Gemma Gemma-7b Region:us Safetensors Sharded Tensorflow Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/gemma-1.1-7b-it

Gemma 1.1 7B It Benchmarks

LLME Score: 0.12465

^nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

What is the LLM Explorer Rank (Score)

Gemma 1.1 7B It (unsloth/gemma-1.1-7b-it)

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Gemma 1.1 7B It Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, commercial applications

Applications:

text generation, finetuning experiments

Primary Use Cases:

finetuning models with reduced memory and increased speed

Considerations:

Designed to be used with specific modification and fine-tuning tools.

Additional Notes

The model can be exported to GGUF, vLLM, or uploaded to Hugging Face.

LLM Name	Gemma 1.1 7B It
Repository 🤗	https://huggingface.co/unsloth/gemma-1.1-7b-it
Model Size	7b
Required VRAM	17 GB
Updated	2026-05-24
Maintainer	unsloth
Model Type	gemma
Model Files	5.8 GB: 1-of-3 5.9 GB: 2-of-3 5.3 GB: 3-of-3
Supported Languages	en
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.44.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Quantized Models of the Gemma 1.1 7B It

Model	Likes	Downloads	VRAM
Gemma 1.1 7B It 4bit	4	186	5 GB
Gemma 1.1 7B It GGUF	1	81	5 GB
Gemma 1.1 7B It GPTQ	1	6	7 GB
Gemma 1.1 7B It AWQ	0	7	7 GB
Gemma 1.1 7B It 4bit	1	5	5 GB

Best Alternatives to Gemma 1.1 7B It

Best Alternatives	Context / RAM	Downloads	Likes
Kaggle Math Model Gemma V1	12K / 17.1 GB	5	0
Gemma 1.1 7B It	8K / 17.1 GB	12200	275
Gemma 1.1 7B It	8K / 17.1 GB	12	4
Gemma 7B It	8K / 17.1 GB	1570	10
SeaLLM 7B V2.5	8K / 17.1 GB	12476	51
Zephyr 7B Gemma DPO Avg	8K / 17.1 GB	15	0
Zephyr 7B Gemma Rpo Avg	8K / 17.1 GB	7	0
... Codegemma 2 7B It Alpaca V1.3	8K / 17.1 GB	2	1
... 7B Finetuned Sft Navarasa 2.0	8K / 34 GB	1620	23
Codegemma 7B It	8K / 17.1 GB	8430	252

Note: green Score (e.g. "73.2") means that the model is better than unsloth/gemma-1.1-7b-it.

Rank the Gemma 1.1 7B It Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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

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Release v20260328a

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Gemma 1.1 7B It by unsloth