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

Llama 3 ELYZA JP 8B AWQ requires approximately 5.8 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 AWQ and how large is it?

Llama 3 ELYZA JP 8B AWQ 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 AWQ?

Llama 3 ELYZA JP 8B AWQ 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 AWQ by elyza — VRAM 5.8GB, 8K context

Name: Llama 3 ELYZA JP 8B AWQ
Author: elyza

Llama 3 ELYZA JP 8B AWQ is an open-source language model by elyza. Features: 8b LLM, VRAM: 5.8GB, Context: 8K, License: llama3, Quantized, LLM Explorer Score: 0.13.

4-bit Awq Conversational Deploy:azure En Endpoints compatible Ja Llama Quantized Region:us Safetensors Sharded Tensorflow

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

Llama 3 ELYZA JP 8B AWQ Parameters and Internals

Model Type

large language model, text generation

Use Cases

Areas:

research, commercial applications

Supported Languages

languages_supported (Japanese, English), proficiency_levels ()

Training Details

Methodology:

Additional pre-training and instruction tuning for Japanese usage.

Model Architecture:

Built with Meta Llama3

Input Output

Input Format:

Chat messages

Accepted Modalities:

text

Output Format:

text

Performance Tips:

Use specified sampling parameters like temperature of 0.6 and top_p of 0.9 for best performance.

LLM Name	Llama 3 ELYZA JP 8B AWQ
Repository 🤗	https://huggingface.co/elyza/Llama-3-ELYZA-JP-8B-AWQ
Base Model(s)	Llama 3 ELYZA JP 8B elyza/Llama-3-ELYZA-JP-8B
Model Size	8b
Required VRAM	5.8 GB
Updated	2026-07-10
Maintainer	elyza
Model Type	llama
Model Files	4.7 GB: 1-of-2 1.1 GB: 2-of-2
Supported Languages	ja en
AWQ Quantization	Yes
Quantization Type	awq
Model Architecture	LlamaForCausalLM
License	llama3
Context Length	8192
Model Max Length	8192
Transformers Version	4.40.1
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3 ELYZA JP 8B AWQ 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

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