XVERSE-13B

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XVERSE-13B is an Open Source & Models tool that provides a multilingual large language model. It supports a 256K context window for advanced tasks like document summarization and report analysis.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is XVERSE-13B?

XVERSE-13B is a multilingual large language model developed by XVERSE Technology Inc. It features a Decoder-only Transformer network structure with an 8K context length, which is extended to 256K in the XVERSE-13B-256K version for handling extensive input content like literature summaries and report analysis. The model was trained on 3.2 trillion tokens across over 40 languages, with a focus on Chinese and English performance. It utilizes a 100,534-token BPE-based tokenizer that supports multiple languages without requiring additional vocabulary expansion. The project also highlights an efficient training framework with high peak computing power utilization. Quantized models (GGUF, GPTQ) are available for inference on MacOS, Linux, and Windows systems.

Best used for

Ideal for AI researchers and developers who need to implement and benchmark large language models, perform document summarization, and engage in multi-turn dialogues. Especially valuable for those working with multilingual data and requiring long context window capabilities for complex analysis.

Common actions

develop AI applications

benchmark language models

summarize documents

generate text

perform knowledge Q&A

github copilotface swappingdeepfakeautomated workflowlow-code/no-codeopen-source"AI Agents"collaborationworkflows

Capabilities

Key features

Multilingual large language model
256K context window
BPE-based tokenizer
Efficient training framework
Quantized models available
Tool calling capability

Target Audience

studentprofessor

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What is the maximum context window supported by XVERSE-13B?

The XVERSE-13B-256K version of the model supports a maximum context window length of 256K tokens, which is approximately 250,000 characters. This allows for extensive input content, making it suitable for tasks like literature summarization and report analysis.

What languages does XVERSE-13B support?

XVERSE-13B is a multilingual model trained on over 40 languages, including Chinese, English, Russian, and Spanish. It is optimized for strong performance in Chinese and English, while also maintaining effectiveness across other supported languages.

Can XVERSE-13B be used on local machines?

Yes, XVERSE-13B offers GGUF and GPTQ quantized models. These versions support inference using tools like llama.cpp and vLLM on MacOS, Linux, and Windows systems, enabling local deployment and execution.

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra Research & Education › Summarization

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