What are the hardware requirements for Llama 3 ELYZA JP 8B?

Llama 3 ELYZA JP 8B requires approximately 16.1 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 Llama 3 ELYZA JP 8B and how large is it?

Llama 3 ELYZA JP 8B is developed by elyza, a model with 8b 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 Llama 3 ELYZA JP 8B?

Llama 3 ELYZA JP 8B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3 ELYZA JP 8B by elyza — VRAM 16.1GB, 8K context

Name: Llama 3 ELYZA JP 8B
Rating: 3 (1 reviews)
Author: elyza

Llama 3 ELYZA JP 8B is an open-source language model by elyza. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, LLM Explorer Score: 0.16.

Conversational Deploy:azure En Endpoints compatible Ja Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B

Llama 3 ELYZA JP 8B Parameters and Internals

Model Type

text generation

Supported Languages

ja (enhanced usage), en (supported)

Training Details

Data Sources:

meta-llama/Meta-Llama-3-8B-Instruct

Methodology:

Pre-training and instruction tuning for Japanese.

Model Architecture:

Built with Meta Llama3

LLM Name	Llama 3 ELYZA JP 8B
Repository 🤗	https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B
Model Size	8b
Required VRAM	16.1 GB
Updated	2026-07-21
Maintainer	elyza
Model Type	llama
Model Files	5.0 GB: 1-of-4 5.0 GB: 2-of-4 4.9 GB: 3-of-4 1.2 GB: 4-of-4
Supported Languages	ja en
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.41.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3 ELYZA JP 8B 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 Llama 3 ELYZA JP 8B

Model	Likes	Downloads	VRAM
Llama 3 ELYZA JP 8B AWQ	4	313	5 GB
Llama 3 ELYZA JP 8B 8bit	0	97	8 GB
Llama 3 ELYZA JP 8B 4bit	0	70	4 GB

Best Alternatives to Llama 3 ELYZA JP 8B

Best Alternatives	Context / RAM	Downloads	Likes
...otron 8B UltraLong 4M Instruct	4192K / 32.1 GB	1135	125
UltraLong Thinking	4192K / 16.1 GB	2	3
...a 3.1 8B UltraLong 4M Instruct	4192K / 32.1 GB	176	24
...a 3.1 8B UltraLong 2M Instruct	2096K / 32.1 GB	875	9
...otron 8B UltraLong 2M Instruct	2096K / 32.1 GB	124	18
Cthulhu 8B V1.4	1048K / 16.1 GB	10	10
...raLong 1M Instruct Abliterated	1048K / 32.1 GB	4	9
...a 3.1 8B UltraLong 1M Instruct	1048K / 32.1 GB	1387	29
...otron 8B UltraLong 1M Instruct	1048K / 32.1 GB	702	59
...xis Bookwriter Llama3.1 8B Sft	1048K / 16.1 GB	25	4

Note: green Score (e.g. "73.2") means that the model is better than elyza/Llama-3-ELYZA-JP-8B.