What are the hardware requirements for Gemma 1.1 7B It 4bit?

Gemma 1.1 7B It 4bit requires approximately 5.9 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 4bit and how large is it?

Gemma 1.1 7B It 4bit is developed by mlx-community, 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 4bit perform on standard benchmarks?

Gemma 1.1 7B It 4bit has the following published scores: MMLU 60.39, LMSYS ELO 1181. Compare against reference models on this page or on the LLM Explorer leaderboards.

Gemma 1.1 7B It 4bit by mlx-community — VRAM 5.9GB, 8K context

Name: Gemma 1.1 7B It 4bit
Author: mlx-community

Gemma 1.1 7B It 4bit is an open-source language model by mlx-community. Features: 7b LLM, VRAM: 5.9GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.25, ELO: 1181, Arc: 60, HellaSwag: 76.2, MMLU: 60.4, GSM8K: 41.8.

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

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-1.1-7b-it-4bit

Gemma 1.1 7B It 4bit Benchmarks

LMSys ELO 1181 vs 1272 (so35) -7.2%

^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 4bit Parameters and Internals

Model Type

text generation

Additional Notes

Converted to MLX format using mlx-lm version 0.7.0

LLM Name	Gemma 1.1 7B It 4bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-1.1-7b-it-4bit
Base Model(s)	unsloth/gemma-1.1-7b-it unsloth/gemma-1.1-7b-it
Model Size	7b
Required VRAM	5.9 GB
Updated	2026-07-04
Maintainer	mlx-community
Model Type	gemma
Model Files	5.3 GB: 1-of-2 0.6 GB: 2-of-2
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	gemma
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.3
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	bfloat16

Rank the Gemma 1.1 7B It 4bit 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

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