What are the hardware requirements for ELYZA Thinking 1.0 Llm Jp 4 33B?

ELYZA Thinking 1.0 Llm Jp 4 33B requires approximately 66.5 GB of VRAM and supports a context window of 64K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed ELYZA Thinking 1.0 Llm Jp 4 33B and how large is it?

ELYZA Thinking 1.0 Llm Jp 4 33B is developed by elyza, a model with 33b 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 ELYZA Thinking 1.0 Llm Jp 4 33B?

ELYZA Thinking 1.0 Llm Jp 4 33B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

ELYZA Thinking 1.0 Llm Jp 4 33B by elyza — VRAM 66.5GB, 64K context

Name: ELYZA Thinking 1.0 Llm Jp 4 33B
Author: elyza

ELYZA Thinking 1.0 Llm Jp 4 33B is an open-source language model by elyza. Features: 33b LLM, VRAM: 66.5GB, Context: 64K, License: apache-2.0, LLM Explorer Score: 0.36.

Base model:finetune:llm-jp/llm... Base model:llm-jp/llm-jp-4-33b... Conversational En Endpoints compatible Ja Llama Llm-jp-4 Reasoning Region:us Safetensors Sharded Tensorflow Tool-calling

Model Card on HF 🤗: https://huggingface.co/elyza/ELYZA-Thinking-1.0-llm-jp-4-33b

ELYZA Thinking 1.0 Llm Jp 4 33B Parameters and Internals

LLM Name	ELYZA Thinking 1.0 Llm Jp 4 33B
Repository 🤗	https://huggingface.co/elyza/ELYZA-Thinking-1.0-llm-jp-4-33b
Base Model(s)	Llm Jp 4 33B Base llm-jp/llm-jp-4-33b-base
Model Size	33b
Required VRAM	66.5 GB
Updated	2026-10-05
Maintainer	elyza
Model Type	llama
Model Files	50.0 GB: 1-of-2 16.5 GB: 2-of-2
Supported Languages	ja en
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	65536
Model Max Length	65536
Transformers Version	5.8.1
Tokenizer Class	Llmjp4Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	196608
Torch Data Type	bfloat16

Rank the ELYZA Thinking 1.0 Llm Jp 4 33B 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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