Home › Language Models › Qwen2.5-7B

Qwen2.5-7B - AI Language Models Tool

Overview

Qwen2.5-7B is a large language model for text generation with improvements in coding, mathematics, instruction following, long-text generation, and multilingual support. It supports context lengths up to 128K tokens and is intended for sophisticated NLP tasks. The model is hosted on Hugging Face.

Key Features

  • Large language model for text generation
  • Improvements in coding tasks
  • Improvements in mathematics reasoning
  • Improved instruction-following capabilities
  • Supports long contexts up to 128K tokens
  • Multilingual text generation and understanding

Ideal Use Cases

  • Long-document summarization and analysis
  • Code generation and code understanding
  • Instruction-following conversational agents
  • Multilingual content generation and translation assistance
  • Mathematical problem solving and reasoning
  • Research, evaluation, and NLP experimentation

Getting Started

  • Visit the Hugging Face model page: https://huggingface.co/Qwen/Qwen2.5-7B
  • Review the model card and licensing information
  • Choose a compatible runtime or inference tool
  • Load the model into your chosen inference environment
  • Start with short prompts, then scale to long contexts
  • Monitor memory and latency for long-context runs

Pricing

Pricing is not disclosed on the model page; check hosting providers for inference or deployment costs.

Key Information

  • Category: Language Models
  • Type: AI Language Models Tool
Visit Official Website

Related Tools

DeepSeek-V3

An open-source language model from deepseek-ai offering efficient long-context inference with native sparse attention and support for multiple precisions.
Llama 3

Llama 3 is an open access large language model (LLM) released by Meta, available in various configurations (8B and 70B parameters) with capabilities for fine-tuning and integrations into platforms like Hugging Face, Google Cloud, and Amazon SageMaker.
UNfilteredAI-1B

A large-scale text generation model designed for creative and unconstrained content production without traditional filtering.
FLUX1.1 [pro]

A new text-to-image AI model capable of generating images six times faster than its predecessor, with higher quality, better prompt adherence, and more diversity in outputs. It includes a prompt upsampling feature that utilizes a language model to enhance prompts for improved image generation.
Shuttle-3

Shuttle-3 is a state-of-the-art language model designed for high-quality text generation, particularly suited for complex chat, multilingual communication, and reasoning tasks. It is fine-tuned from the Qwen-2.5-72b-Instruct model and designed to emulate high-quality prose similar to Claude 3 models.
WizardLM

WizardLM is a state-of-the-art large language model designed for complex chat, multilingual tasks, reasoning, and agent functionalities. It features an AI-powered pipeline (Auto Evol-Instruct) that optimizes instruction datasets for improved performance across various domains and leverages Arena Learning for an expanded learning pool of challenging instruction data.