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.

How does Gemma 1.1 7B It perform on standard benchmarks?

Gemma 1.1 7B It has the following published scores: LMSYS ELO 1182. Compare against reference models on this page or on the LLM Explorer leaderboards.

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: 0.24, ELO: 1182.

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

LMSys ELO 1182 vs 1272 (so35) -7.1%

^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 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	2026-07-21
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

Rank the Gemma 1.1 7B It capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Gemma 1.1 7B It

Model	Likes	Downloads	VRAM
Gemma 1.1 7B It GGUF	1	52	5 GB
Gemma 1.1 7B It 4bit	4	68	5 GB
Gemma 1.1 7B It AWQ	0	6	7 GB
Gemma 1.1 7B It GPTQ	1	3	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	19153	275
Gemma 1.1 7B It	8K / 17.1 GB	8	4
Gemma 7B It	8K / 17.1 GB	3944	10
...emma 7B It Legal Refugiados Es	8K / 34 GB	5	0
SeaLLM 7B V2.5	8K / 17.1 GB	8761	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	7	1
Zephyr 7B Gemma V0.1	8K / 17.1 GB	84	124

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