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 chuckma, 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 1182. Compare against reference models on this page or on the LLM Explorer leaderboards.

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

Name: Gemma 1.1 7B It 4bit
Author: chuckma

Gemma 1.1 7B It 4bit is an open-source language model by chuckma. Features: 7b LLM, VRAM: 5.9GB, Context: 8K, License: apache-2.0, Quantized, LLM Explorer Score: 0.25, ELO: 1182, Arc: 60, HellaSwag: 76.2, MMLU: 60.4, GSM8K: 41.8.

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

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

Gemma 1.1 7B It 4bit 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 4bit Parameters and Internals

LLM Name	Gemma 1.1 7B It 4bit
Repository 🤗	https://huggingface.co/chuckma/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	2026-08-02
Maintainer	chuckma
Model Type	gemma
Model Files	5.0 GB: 1-of-2 0.9 GB: 2-of-2
Quantization Type	4bit
Model Architecture	GemmaForCausalLM
License	apache-2.0
Context Length	8192
Model Max Length	8192
Transformers Version	4.39.3
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	256000
Torch Data Type	float16

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

Best Alternatives to Gemma 1.1 7B It 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...t Cleaner Gemma 32k Merged 16b	31K / 17.1 GB	7	0
...ruct Malayalam Model Vllm 4bit	16K / 5.6 GB	5	0
Gemma 1.1 7B It 4bit	8K / 5.9 GB	68	4
Gemma 7B 8bit	8K / 9.4 GB	3	1
... Codegemma 2 7B It Alpaca V1.2	8K / 17.1 GB	35	0
Codegemma 7B It 8bit	8K / 9.5 GB	203	6
Fbt Gemma 7B	8K / 17.1 GB	18	0
Codegemma 7B It 4bit	8K / 5.9 GB	89	2
Codegemma 7B 4bit	8K / 5.9 GB	48	0
Swahili Gemma	8K / 17.1 GB	37	1

Note: green Score (e.g. "73.2") means that the model is better than chuckma/gemma-1.1-7b-it-4bit.