What are the hardware requirements for Llama 2 70B Chat 4bit Japanese V1?

Llama 2 70B Chat 4bit Japanese V1 requires approximately 3.3 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Llama 2 70B Chat 4bit Japanese V1 and how large is it?

Llama 2 70B Chat 4bit Japanese V1 is developed by doshisha-mil, a model with 70b 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 2 70B Chat 4bit Japanese V1?

Llama 2 70B Chat 4bit Japanese V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 2 70B Chat 4bit Japanese V1 by doshisha-mil — VRAM 3.3GB

Name: Llama 2 70B Chat 4bit Japanese V1
Author: doshisha-mil

Llama 2 70B Chat 4bit Japanese V1 is an open-source language model by doshisha-mil. Features: 70b LLM, VRAM: 3.3GB, License: llama2, Quantized, LLM Explorer Score: 0.08.

4bit Adapter Facebook Finetuned Ja Llama2 Lora Meta Peft Pytorch Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/doshisha-mil/llama-2-70b-chat-4bit-japanese-v1

Llama 2 70B Chat 4bit Japanese V1 Parameters and Internals

Model Type

text-generation

Additional Notes

The model is fine-tuned using the Japanese version of the alpaca dataset.

Supported Languages

ja (Japanese)

Training Details

Data Sources:

alpaca_ja dataset (https://github.com/shi3z/alpaca_ja)

Methodology:

fine-tuning

Input Output

Input Format:

Text input as a string with structure - questions and answers

Accepted Modalities:

text

Output Format:

Text output as a generated response

LLM Name	Llama 2 70B Chat 4bit Japanese V1
Repository 🤗	https://huggingface.co/doshisha-mil/llama-2-70b-chat-4bit-japanese-v1
Model Size	70b
Required VRAM	3.3 GB
Updated	2026-07-08
Maintainer	doshisha-mil
Model Files	3.3 GB
Supported Languages	ja
Quantization Type	4bit
Model Architecture	Adapter
License	llama2
Is Biased	none
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|o_proj\|k_proj\|gate_proj\|q_proj\|up_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.1
R Param	64

Rank the Llama 2 70B Chat 4bit Japanese V1 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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Note: green Score (e.g. "73.2") means that the model is better than doshisha-mil/llama-2-70b-chat-4bit-japanese-v1.