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Hunyuan 7B Instruct 0124

Developed by tencent
Hunyuan-7B is an open-source large language model released by Tencent. It has the ability to process 256K long texts and uses the Grouped Query Attention (GQA) mechanism, performing excellently among Chinese 7B dense models.
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Release Time : 1/24/2025

Model Overview

The Hunyuan-7B model is a large-scale language model developed by Tencent, focusing on Chinese processing capabilities and achieving a good balance between computing resources and performance.

Model Features

256K long text processing
Extend the long text processing ability to 256K, suitable for processing long documents and complex contexts
Grouped Query Attention mechanism
Adopt the GQA (Grouped Query Attention) mechanism to improve model efficiency
High-performance inference
Provide two inference backend options, vLLM and TensorRT-LLM, to optimize inference speed
Chinese optimization
Specifically optimized for Chinese tasks, performing excellently in Chinese benchmark tests

Model Capabilities

Text generation
Question-answering system
Code generation
Mathematical reasoning
Knowledge question-answering
Long text understanding

Use Cases

Education
Intelligent tutoring
Help students answer various subject questions
Achieved a 93.33% accuracy rate in the mathematical reasoning (GSM8K) test
Research
Academic paper analysis
Process and analyze long academic papers
Supports a 256K context length
Business
Intelligent customer service
Handle customer consultations and question answering
Performed excellently in Chinese question-answering tests
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