Home › Language Models › Qwen2.5-7B

Qwen2.5-7B - AI Language Models Tool

Overview

Qwen2.5-7B is a 7-billion-parameter 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.

Key Features

  • 7B-parameter large language model optimized for text generation.
  • Supports context lengths up to 128K tokens.
  • Improved performance on coding and mathematical tasks.
  • Enhanced instruction-following capabilities.
  • Long-form text generation for extended inputs.
  • Multilingual support across many languages.
  • Available on the Hugging Face model hub.

Ideal Use Cases

  • Code generation and completion.
  • Mathematical problem solving and reasoning.
  • Instruction-following chat assistants.
  • Generating and summarizing long documents.
  • Multilingual NLP tasks and translation.
  • Research, prototyping, and benchmarking.

Getting Started

  • Visit the model page on Hugging Face.
  • Read the model card for license, capabilities, and limitations.
  • Follow integration instructions provided in the model card.
  • Validate outputs with representative prompts before production use.

Pricing

No pricing or licensing information is provided in the supplied tool context. Check the Hugging Face model page for current licensing, download, or hosting costs.

Limitations

  • No pricing or licensing details provided in the tool context.
  • Model training data and full architecture details are not provided.
  • Performance compared to larger or specialized models is not specified.

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.
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.
Aria

A multimodal AI model that combines vision, language, and coding tasks, designed to deliver state-of-the-art performance across diverse tasks.