What are the hardware requirements for BigTranslate?

BigTranslate requires approximately 26.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed BigTranslate and how large is it?

BigTranslate is developed by James-WYang. 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 BigTranslate?

BigTranslate is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

BigTranslate by James-WYang — VRAM 26.5GB

Name: BigTranslate
Author: James-WYang

BigTranslate is an open-source language model by James-WYang. Features: LLM, VRAM: 26.5GB, License: lgpl-3.0, LLM Explorer Score: 0.07.

Arxiv:2305.18098 Endpoints compatible Llama Pytorch Region:us Sharded

Model Card on HF 🤗: https://huggingface.co/James-WYang/BigTranslate

BigTranslate Parameters and Internals

Model Type

multilingual translation

Additional Notes

BigTranslate is built upon LLaMA-13B and optimized for multilingual translation across more than 100 languages.

Training Details

Methodology:

Three-step optimization: continued training with massive Chinese monolingual data, continued training with a large-scale parallel dataset, and instruct-tuning with multilingual translation instructions.

LLM Name	BigTranslate
Repository 🤗	https://huggingface.co/James-WYang/BigTranslate
Required VRAM	26.5 GB
Updated	2026-07-20
Maintainer	James-WYang
Model Type	llama
Model Files	9.9 GB: 1-of-3 9.9 GB: 2-of-3 6.7 GB: 3-of-3
Model Architecture	LLaMAForCausalLM
License	lgpl-3.0
Model Max Length	1024
Transformers Version	4.21.0
Tokenizer Class	LLaMATokenizer
Vocabulary Size	53613
Torch Data Type	float16

Rank the BigTranslate 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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