What are the hardware requirements for Gema4b?

Gema4b requires approximately 2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Gema4b and how large is it?

Gema4b is developed by Alamaks, a model with 1b 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 Gema4b?

Gema4b is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gema4b by Alamaks — VRAM 2GB, 32K context

Name: Gema4b
Author: Alamaks

Gema4b is an open-source language model by Alamaks. Features: 1b LLM, VRAM: 2GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.19.

4bit Base model:finetune:unsloth/ge... Base model:unsloth/gemma-3-1b-... Conversational En Endpoints compatible Gemma3 text Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/Alamaks/Gema4b

Gema4b Parameters and Internals

LLM Name	Gema4b
Repository 🤗	https://huggingface.co/Alamaks/Gema4b
Base Model(s)	Gemma 3 1B It Unsloth Bnb 4bit unsloth/gemma-3-1b-it-unsloth-bnb-4bit
Model Size	1b
Required VRAM	2 GB
Updated	2026-09-04
Maintainer	Alamaks
Model Type	gemma3_text
Model Files	2.0 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Gemma3ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.53.2
Tokenizer Class	GemmaTokenizer
Padding Token	<pad>
Vocabulary Size	262144
Torch Data Type	bfloat16

Rank the Gema4b 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 Gema4b

Best Alternatives	Context / RAM	Downloads	Likes
Gemma 3 1B Hindi Instruct	32K / 2 GB	41	1
Gemma 3 1B It Qat 4bit	32K / 0.7 GB	34167	5
Gemma 3 1B It Unsloth Bnb 4bit	32K / 1 GB	15646	10
Gemma 3 1B It 4bit	32K / 0.7 GB	6681	4
Gemma 3 1B It Pretrain	32K / 2 GB	8	0
Gemma 3 1B It Bnb 4bit	32K / 1 GB	1474	10
...a 3 1B It Qat Unsloth Bnb 4bit	32K / 1 GB	132	2
Gemma 3 1B It Qat Abliterated	32K / 4 GB	19	2
Gemma 3 1B It Qat Bnb 4bit	32K / 1 GB	99	2
Gemma 3 1B Pt Unsloth Bnb 4bit	32K / 1 GB	644	4

Note: green Score (e.g. "73.2") means that the model is better than Alamaks/Gema4b.