What are the hardware requirements for Youri 7B Instruction Gptq?

Youri 7B Instruction Gptq requires approximately 3.9 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 Youri 7B Instruction Gptq and how large is it?

Youri 7B Instruction Gptq is developed by rinna, a model with 7b 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 Youri 7B Instruction Gptq?

Youri 7B Instruction Gptq is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Youri 7B Instruction Gptq by rinna — VRAM 3.9GB, 4K context

Name: Youri 7B Instruction Gptq
Author: rinna

Youri 7B Instruction Gptq is an open-source language model by rinna. Features: 7b LLM, VRAM: 3.9GB, Context: 4K, License: llama2, Quantized, Instruction-Based, LLM Explorer Score: 0.09.

Arxiv:2404.01657 4bit Base model:quantized:rinna/you... Base model:rinna/youri-7b-inst... Dataset:databricks/databricks-... Dataset:izumi-lab/llm-japanese... Dataset:kunishou/databricks-do... En Gptq Instruct Ja Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/rinna/youri-7b-instruction-gptq

Youri 7B Instruction Gptq Parameters and Internals

Model Type

text generation

Supported Languages

ja (unknown), en (unknown)

LLM Name	Youri 7B Instruction Gptq
Repository 🤗	https://huggingface.co/rinna/youri-7b-instruction-gptq
Base Model(s)	Youri 7B Instruction rinna/youri-7b-instruction
Model Size	7b
Required VRAM	3.9 GB
Updated	2026-08-08
Maintainer	rinna
Model Type	llama
Instruction-Based	Yes
Model Files	3.9 GB
Supported Languages	ja en
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	LlamaForCausalLM
License	llama2
Context Length	4096
Model Max Length	4096
Transformers Version	4.34.1
Tokenizer Class	LlamaTokenizer
Vocabulary Size	32000
Torch Data Type	float16

Rank the Youri 7B Instruction Gptq 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

Best Alternatives to Youri 7B Instruction Gptq

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... 7B 32K Instructions V4 Marlin	32K / 4.1 GB	8	0
Llama 2 7B 32K Instruct GPTQ	32K / 3.9 GB	49	27
...a 7B Instruct GPTQ Calib Ja 1K	16K / 3.9 GB	6	0
...echless Tora Code 7B V1.0 GPTQ	16K / 3.9 GB	9	1
CodeLlama 7B Instruct GPTQ	16K / 3.9 GB	499	46
CausalLM 7B GPTQ	8K / 5.9 GB	7	5
Leo Hessianai 7B Chat GPTQ	8K / 3.9 GB	18	0
...ssianai 7B Chat Bilingual GPTQ	8K / 3.9 GB	6	0
Xgen 7B 8K Open Instruct Gptq	8K / 4.2 GB	5	4
Deepseek Math 7B Instruct GPTQ	4K / 4.8 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than rinna/youri-7b-instruction-gptq.