GLM-4.6-AWQ is a model that performs high-performance AWQ quantization on Zhipu AI's GLM-4.6 (357B MoE). It is optimized for vLLM inference and can effectively improve the throughput of production deployment. This model uses 4-bit quantization technology, which significantly reduces video memory usage while maintaining high accuracy.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.6 is a new-generation text generation model launched by Zhipu AI. Compared with GLM-4.5, it has significant improvements in multiple aspects, including a longer context window, better coding performance, and stronger reasoning ability. This model performs excellently in multiple public benchmark tests and has a competitive advantage compared with leading models at home and abroad.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.6 is a new-generation large language model developed by Zhipu AI. Compared with GLM-4.5, it has significant improvements in context processing, coding ability, and reasoning performance. This model supports a context length of 200K and performs excellently in multiple public benchmark tests, especially having competitive advantages in code generation, reasoning, and agent tasks.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.6 is a new-generation text generation model launched by Zhipu AI. Compared with GLM-4.5, it has achieved significant improvements in context processing, encoding performance, reasoning ability, etc. It supports a context length of 200K and has stronger agent capabilities and refined writing abilities.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.6-FP8 is a new-generation text generation model launched by Zhipu AI. It has significant improvements in multiple key aspects compared to GLM-4.5. This model has a longer context window, excellent coding performance, advanced reasoning ability, and more powerful agent functions, enabling it to handle more complex tasks.

Natural Language ProcessingTransformersMultiple Languages

GLM-4.5-Air is a foundation model for agents launched by Zhipu AI. It adopts a compact design, unifying reasoning, coding, and agent capabilities to meet the complex requirements of agent applications. The model has a moderate number of parameters and superior efficiency. Multiple versions have been open-sourced and can be used for commercial purposes and secondary development.

Natural Language ProcessingTransformersMultiple Languages

A 3-bit Deep Weight Quantization (DWQ) version converted from the Zhipu AI GLM-4.5-Air model, optimized specifically for the MLX framework. It significantly reduces the model size and inference resource requirements while maintaining high performance.

Natural Language ProcessingMlxMultiple Languages

GLM-4.5V-AWQ-4bit is a quantized multimodal model built on Zhipu AI's next-generation flagship text foundation model. Optimized by AWQ-4bit quantization technology, it significantly reduces the computational resource requirements while maintaining excellent performance. This model achieves SOTA performance among models of the same scale in 42 public visual language benchmark tests and has powerful visual reasoning capabilities.

MultimodalTransformersMultiple Languages

GLM-4.5-Air-2bit is a 2-bit quantized version converted from Zhipu AI's GLM-4.5-Air model. It is optimized using the MLX format and can run efficiently on Apple chip devices. This model supports text generation tasks and has the characteristics of being lightweight and highly efficient.

Natural Language ProcessingMlxMultiple Languages

GLM-4.5-Air-6bit is a 6-bit quantized version converted from Zhipu AI's GLM-4.5-Air model, optimized for the MLX framework to provide efficient large language model inference capabilities.

Natural Language ProcessingMlxMultiple Languages

GLM-4.5-Air-8bit is an 8-bit quantized version converted from Zhipu AI's GLM-4.5-Air model, specifically optimized for the MLX framework. This model maintains the powerful natural language processing capabilities of the original version, while reducing memory usage and computational requirements through quantization technology, making it suitable for efficient operation on Apple Silicon devices.

Natural Language ProcessingMlxMultiple Languages

GLM-4.1V-9B-Base is an open-source vision-language foundation model developed by Zhipu AI. It has 9 billion parameters, focuses on multimodal reasoning capabilities, supports both Chinese and English, and can process images with up to 4K resolution and a context length of 64K.

MultimodalTransformersMultiple Languages

GLM-4-Z1-9B-0414 is a new-generation open-source large language model with 9 billion parameters launched by Zhipu AI. It has powerful text generation and reasoning abilities. This model performs excellently in mathematical reasoning and general tasks, achieving an excellent balance between efficiency and effectiveness in resource-constrained scenarios, and supports friendly local deployment.

Natural Language ProcessingTransformersMultiple Languages

GLM-4-9B-0414 is a large language model with 9 billion parameters launched by Zhipu AI, which performs excellently in the field of text generation. This model is pre-trained on 15T of high-quality data and has powerful text generation capabilities. It can be applied to various scenarios such as code writing, story creation, and report generation, achieving an excellent balance between efficiency and effectiveness.

Natural Language ProcessingTransformersMultiple Languages

GLM-4-9B is an open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI. It performs excellently in the evaluation of datasets such as semantics, mathematics, reasoning, code, and knowledge. It supports multiple languages and various advanced features, including web browsing, code execution, custom tool invocation, and long text reasoning.

Natural Language ProcessingSafetensorsMultiple Languages

GLM-4-9B is an open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI. It performs excellently in the evaluation of datasets such as semantics, mathematics, reasoning, code, and knowledge, and has advanced features such as multilingual support.

Natural Language ProcessingSafetensorsMultiple Languages

GLM-Edge-4B-Chat is a Chinese-English bilingual dialogue model with 4 billion parameters developed by Zhipu AI. It is specifically optimized for edge devices and supports efficient text generation tasks. This model is based on the Transformer architecture, featuring lightweight design and high efficiency, making it suitable for deployment in resource-constrained environments.

Natural Language ProcessingSafetensors

CogVideoX1.5-5B is a text-to-video generation model open-sourced by Zhipu AI, which can generate high-quality videos based on English text descriptions. This model supports generating videos with a resolution of 1360×768 and a maximum of 81 frames (5 seconds), and has wide application value in the field of video creation.

MultimodalDiffusersEnglish

GLM-4-9B-Chat is an open-source version of the latest generation of pre-trained models in the GLM-4 series launched by Zhipu AI. It performs excellently in the evaluation of datasets such as semantics, mathematics, reasoning, code, and knowledge. It supports advanced features such as multi-round dialogue, web browsing, and code execution, and also supports multilingual and long-context reasoning.

Natural Language ProcessingTransformersMultiple Languages

GLM-4-9B is the latest open-source version of the GLM-4 series pre-trained model developed by Zhipu AI, featuring exceptional capabilities in semantics, mathematics, reasoning, coding, and knowledge.

Natural Language ProcessingTransformersMultiple Languages