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

ELYZA Thinking 1.0 Llm Jp 4 33B Gptq requires approximately 20.1 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 Gptq and how large is it?

ELYZA Thinking 1.0 Llm Jp 4 33B Gptq is developed by ronantakizawa, 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 Gptq?

ELYZA Thinking 1.0 Llm Jp 4 33B Gptq 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 Gptq by ronantakizawa — VRAM 20.1GB, 64K context

Name: ELYZA Thinking 1.0 Llm Jp 4 33B Gptq
Author: ronantakizawa

ELYZA Thinking 1.0 Llm Jp 4 33B Gptq is an open-source language model by ronantakizawa. Features: 33b LLM, VRAM: 20.1GB, Context: 64K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

Base model:elyza/elyza-thinkin... Base model:quantized:elyza/ely... Compressed-tensors Conversational En Endpoints compatible Gptq Int4 Ja Llama Llm-compressor Llm-jp-4 Quantized Region:us Safetensors Sharded Tensorflow Vllm W4a16

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

ELYZA Thinking 1.0 Llm Jp 4 33B Gptq Parameters and Internals

LLM Name	ELYZA Thinking 1.0 Llm Jp 4 33B Gptq
Repository 🤗	https://huggingface.co/ronantakizawa/ELYZA-Thinking-1.0-llm-jp-4-33b-gptq
Base Model(s)	elyza/ELYZA-Thinking-1.0-llm-jp-4-33b elyza/ELYZA-Thinking-1.0-llm-jp-4-33b
Model Size	33b
Required VRAM	20.1 GB
Updated	2026-10-08
Maintainer	ronantakizawa
Model Type	llama
Model Files	18.1 GB: 1-of-2 2.0 GB: 2-of-2
Supported Languages	ja en
GPTQ Quantization	Yes
Quantization Type	gptq
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 Gptq 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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