AI ExplorerAI Explorer
ToolsCategoriesSitesLLMsCompareAI QuizAlternativesPremium

—

AI Tools

—

Sites & Blogs

—

LLMs & Models

—

Categories

AI Explorer

Find and compare the best artificial intelligence tools for your projects.

Made within France

Explore

  • All tools
  • Sites & Blogs
  • LLMs & Models
  • Compare
  • Chatbots
  • AI Images
  • Code & Dev

Company

  • Premium
  • About
  • Contact
  • Blog

Legal

  • Legal notice
  • Privacy
  • Terms

© 2026 AI Explorer. All rights reserved.

HomeLLMsDream v0 Instruct 7B

Dream v0 Instruct 7B

by Dream-org

Open source · 116k downloads · 154 likes

2.7
(154 reviews)ChatAPI & Local
About

Dream v0 Instruct 7B is an advanced language model specialized in interpreting and executing complex instructions, derived from an open diffusion architecture. Designed to generate precise and nuanced responses, it excels in a variety of tasks such as creative writing, data analysis, or technical problem-solving. Its core capabilities include deep contextual understanding and adaptability to specific prompts, making it particularly useful for developers, researchers, or content creators. What sets it apart is its balance between cutting-edge performance and flexibility, enabling seamless integration into existing workflows. Ideal for automating intellectual processes while retaining a human touch, it caters to users seeking both efficiency and creativity.

Documentation

Dream-v0-Instruct-7B

This is the instruct model of Dream 7B, which is an open diffusion large language model with top-tier performance. More details about the model and usage can be found in the blog and github bellow:

  • Blog: https://hkunlp.github.io/blog/2025/dream/
  • Github: https://github.com/HKUNLP/Dream
Capabilities & Tags
transformerssafetensorsDreamfeature-extractiontext-generationconversationalcustom_code
Links & Resources
Specifications
CategoryChat
AccessAPI & Local
LicenseOpen Source
PricingOpen Source
Parameters7B parameters
Rating
2.7

Try Dream v0 Instruct 7B

Access the model directly