What are the hardware requirements for ELYZA Japanese Llama 2 7B Instruct?

ELYZA Japanese Llama 2 7B Instruct requires approximately 13.5 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ELYZA Japanese Llama 2 7B Instruct and how large is it?

ELYZA Japanese Llama 2 7B Instruct is developed by elyza, 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 ELYZA Japanese Llama 2 7B Instruct perform on standard benchmarks?

ELYZA Japanese Llama 2 7B Instruct has the following published scores: MMLU 47.07. Compare against reference models on this page or on the LLM Explorer leaderboards.

ELYZA Japanese Llama 2 7B Instruct by elyza — VRAM 13.5GB, 4K context

Name: ELYZA Japanese Llama 2 7B Instruct
Author: elyza

ELYZA Japanese Llama 2 7B Instruct is an open-source language model by elyza. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, License: llama2, Instruction-Based, LLM Explorer Score: 0.12, Arc: 53.2, HellaSwag: 78.3, MMLU: 47.1, GSM8K: 7.9.

Arxiv:2307.09288 Deploy:azure Deploy:sagemaker En Endpoints compatible Instruct Ja Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-instruct

ELYZA Japanese Llama 2 7B Instruct Parameters and Internals

Model Type

text generation

Use Cases

Areas:

research, language processing, commercial applications

Additional Notes

The model is specifically designed for enhancing Japanese language capabilities based on Llama2.

Supported Languages

ja (Advanced), en (Advanced)

Input Output

Input Format:

Text prompt

Accepted Modalities:

text

Output Format:

generated text

LLM Name	ELYZA Japanese Llama 2 7B Instruct
Repository 🤗	https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b-instruct
Model Size	7b
Required VRAM	13.5 GB
Updated	2026-08-08
Maintainer	elyza
Model Type	llama
Instruction-Based	Yes
Model Files	10.0 GB: 1-of-2 3.5 GB: 2-of-2
Supported Languages	ja en
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.30.2
Tokenizer Class	LlamaTokenizer
Beginning of Sentence Token	<s>
End of Sentence Token	</s>
Unk Token	<unk>
Vocabulary Size	32000
Torch Data Type	float16

Rank the ELYZA Japanese Llama 2 7B Instruct 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 ELYZA Japanese Llama 2 7B Instruct

Model	Likes	Downloads	VRAM
... Llama 2 7B Fast Instruct GPTQ	3	95	4 GB

Best Alternatives to ELYZA Japanese Llama 2 7B Instruct

Best Alternatives	Context / RAM	Downloads	Likes
124	1024K / 16.1 GB	93	0
A5.4	1024K / 16.1 GB	12	0
A3.4	1024K / 16.1 GB	13	0
A2.4	1024K / 16.1 GB	12	0
... Qwen2.5llamaify 7B V23.1 200K	195K / 15.2 GB	29	5
Salamandra 7B Instruct 2606	160K / 15.6 GB	817	3
SuperNeuralDreadDevil 8B	128K / 16.1 GB	27	1
Falcon3 7B Instruct	32K / 14.8 GB	11749	80
Falcon3 Jessi V0.4 7B Slerp	32K / 14.9 GB	34	9
Jessi V0.4 Falcon3 7B Instruct	32K / 14.8 GB	22	0

Note: green Score (e.g. "73.2") means that the model is better than elyza/ELYZA-japanese-Llama-2-7b-instruct.