中文版

ChatDLM

A new paradigm in language models: DLM delivers real-time responses and lower-cost solutions.

Fast inference, at your fingertips.

Technical Report Open-sourcing soon Learn More

ChatDLM is a next-generation diffusion-based language model developed by Qafind Labs. With groundbreaking parallel decoding and KV cache optimizations, ChatDLM can generate over 2800 tokens per second, delivering rapid and coherent AI-powered conversations.

Key Features

Discover what makes ChatDLM revolutionary

Ultra-Fast Generation

With over 2800 tokens per second, ChatDLM delivers responses in real-time, making conversations fluid and natural.

Controllable Generation

Precision control over text generation allows for highly customizable outputs tailored to specific requirements.

Local Inpainting

Seamlessly edit specific portions of generated content without regenerating the entire text.

Multi-Constraint Tasks

Handle complex tasks with multiple requirements simultaneously, delivering precise solutions.

Superior Translation

Exceptional performance in translation tasks, maintaining context and nuance across languages.

Resource Efficient

Optimized architecture reduces computational requirements, leading to lower operational costs.

2800+

Tokens Per Second

30%

Lower Operational Cost

10+

Specialized Use Cases

Performance

How ChatDLM compares to other language models

Superior Performance in Key Areas

Data show that ChatDLM offers significant advantages in scenarios such as controllable generation, local inpainting, multi-constraint tasks, numeric countdowns, itinerary planning, Sudoku solving, translation, and more.

Controllable Text Generation

Precision control over generated content

Local Content Editing

Targeted modifications without full regeneration

Complex Problem Solving

Exceptional at structured problems like Sudoku

ChatDLM Score Ranking Chart

Technical Roadmap

Our vision for the future of ChatDLM

Multimodality

Expanding ChatDLM's capabilities to understand and generate content across multiple modalities, including text, images, and potentially audio.

Controllable Generation

Further advancing our precision text generation capabilities, allowing for even more fine-grained control over style, tone, length, and content.

Rethink

Fundamentally reimagining how language models can work, pushing beyond current paradigms to create truly next-generation AI systems.

Frequently Asked Questions

Everything you need to know about ChatDLM

What is a Diffusion Language Model (DLM)?

A DLM is a large-language model that fuses diffusion processes with autoregressive decoding. While diffusion techniques were originally devised for image and video synthesis, DLM applies them to text: starting from a forward diffusion and reverse-noise initialization, it iteratively refines the output into high-quality content—much like sketching a rough draft and then polishing it step by step.

What advantages does DLM offer?

DLM demonstrates clear strengths in use cases such as controllable generation, local inpainting (partial re-writes), multi-constraint tasks, numeric countdowns, itinerary planning, Sudoku solving, translation, and more.

Why is DLM practical?

By combining block-wise parallel diffusion generation with efficient autoregressive knowledge extraction, DLM not only reproduces text quickly and accurately but also pushes both generation quality and speed to previously unattainable, production-ready levels.

What is the context window?

A 131,072-token context window means the model can read and generate nearly 100,000 English words in a single pass.