What are the hardware requirements for Gemma 2 2B Jpn It 4bit?

Gemma 2 2B Jpn It 4bit requires approximately 1.5 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 2 2B Jpn It 4bit and how large is it?

Gemma 2 2B Jpn It 4bit is developed by mlx-community, a model with 2b 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 2 2B Jpn It 4bit?

Gemma 2 2B Jpn It 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Gemma 2 2B Jpn It 4bit by mlx-community — VRAM 1.5GB, 8K context

Name: Gemma 2 2B Jpn It 4bit
Author: mlx-community

Gemma 2 2B Jpn It 4bit is an open-source language model by mlx-community. Features: 2b LLM, VRAM: 1.5GB, Context: 8K, License: gemma, Quantized, LLM Explorer Score: 0.14.

4bit Autotrain compatible Base model:finetune:google/gem... Base model:google/gemma-2-2b-i... Conversational Endpoints compatible Gemma2 Ja Mlx Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/mlx-community/gemma-2-2b-jpn-it-4bit

Gemma 2 2B Jpn It 4bit Parameters and Internals

LLM Name	Gemma 2 2B Jpn It 4bit
Repository 🤗	https://huggingface.co/mlx-community/gemma-2-2b-jpn-it-4bit
Base Model(s)	Gemma 2 2B It google/gemma-2-2b-it
Model Size	2b
Required VRAM	1.5 GB
Updated	2025-10-20
Maintainer	mlx-community
Model Type	gemma2
Model Files	1.5 GB
Supported Languages	ja
Quantization Type	4bit
Model Architecture	Gemma2ForCausalLM
License	gemma
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 2 2B Jpn It 4bit capabilities

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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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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/gemma-2-2b-jpn-it-4bit.