GLM Alternatives

GLM-4.5 is an open-source large language model supporting vision inputs, tool calling, and advanced chat templates. It can process images and text together and follows structured function-calling formats. The model is distributed on Hugging Face and supports Docker and pip-based inference.

GLM-5 is an open-weight large language model hosted on Hugging Face under the zai-org organization. It belongs to the class of foundation models designed for text generation and tool use through a structured function-calling mechanism. The model incorporates a chat template that supports optional tool definitions supplied in JSON within XML tags. When tools are provided, it generates function calls in a specific XML format that includes the function name and argument key-value pairs. This enables the model to invoke external functions as part of its response process. The template also defines handling for visible text content, whether supplied as strings or structured items, and specifies special tokens such as a pad token set to <|endoftext|. It is delivered as a downloadable model repository on the Hugging Face platform. Users can access the associated configuration files that embed the chat template in Jinja format. The hosting organization aligns with the broader Hugging Face ecosystem focused on open source and open science initiatives. No specific pricing, licensing terms, or deployment methods beyond the repository itself are stated in the model page.

GLM-5.2-FP8 is an open-source large language model optimized for local inference with FP8 precision. It allows developers to run advanced text generation tasks efficiently on their own hardware.

GLM-5.1 is an open-source large language model designed for text generation and conversational AI. It can be run locally via CLI and is suitable for research, experimentation, and building AI-powered applications.

GLM-5-FP8 is an open-source, quantized large language model designed for advanced text generation and understanding tasks. It is suitable for developers and researchers seeking efficient, high-quality LLMs for NLP applications.

GLM-5.2 is an open-source large language model designed for advanced text generation and natural language processing tasks. It is suitable for developers and researchers seeking customizable, local deployment of LLMs with open weights.

GLM-4.5-Air is an efficient variant of the GLM-4.5 series of large language models. It supports tool calling and follows a chat template suitable for instruction and agentic use cases. The model is hosted on Hugging Face and intended for inference with the Transformers library or compatible frameworks.

GLM-4.5V is a vision-enabled version of the GLM-4.5 large language model. It supports image inputs, tool calling via structured XML formats, and custom chat templates. The model weights are hosted on Hugging Face for developers to integrate into applications or run locally.

GLM-5.2 is an open-source large language model for text generation and understanding, distributed via Hugging Face. It is suitable for research and production use in NLP applications and can be used with the Transformers library. The model is aimed at developers and researchers.

GLM-4.7-Flash is a foundation model hosted on Hugging Face under the repository zai-org/GLM-4.7-Flash. It belongs to the class of large language models that process text through a defined chat template. The model includes a chat template in Jinja format that supports tool use. When tools are supplied, the template instructs the model to consider function signatures provided inside XML-style tags and to output calls in a specific XML format containing the function name along with argument keys and values. A visible_text macro within the template handles string content, iterable collections, and mapping objects by extracting text where present. The tokenizer configuration specifies an end-of-text token as the pad token. The model is delivered as a repository on the Hugging Face platform, where users can access the associated configuration files. Hugging Face itself operates to advance and democratize artificial intelligence through open source and open science. No pricing, licensing terms, or specific target audience beyond the general context of model repositories are stated.

This is an FP8 quantized release of GLM-5.1 with support for advanced tool calling and function calling via a specialized chat template. The model uses a custom prompting format for tool use and is designed for efficient inference while maintaining strong performance on reasoning and agentic tasks.

GLM-5.2-NVFP4 is an NVIDIA-published, quantized version of the GLM-5.2 model optimized for NVFP4 precision. It includes built-in support for tool calling, function execution, and configurable reasoning effort. The model is distributed on Hugging Face for use with Transformers and compatible inference engines.

This repository contains an NVFP4 quantized variant of GLM-5.2 for optimized inference on NVIDIA hardware. It includes support for tool calling and advanced reasoning modes. The model follows a specific system prompt format and can be used with compatible inference engines.

GLM-4.5-Air-FP8 is an FP8 quantized variant of the GLM-4.5 model, designed for efficient local inference. It supports tool calling and includes a comprehensive chat template. The model is suitable for developers building local AI applications and is distributed via Hugging Face for use with standard inference frameworks.

GLM-4-9B-Chat is a 9 billion parameter language model from Zhipu AI. It features strong multilingual performance (including Chinese) and built-in support for tool use, function calling, and agent workflows. The model is available on Hugging Face for local deployment.

GLM-4.6V-Flash is an open-weights multimodal foundation model from zai-org that processes both text and images. It supports advanced features such as tool calling and is distributed on Hugging Face for local or self-hosted inference. The model is intended for developers building vision-language applications or integrating multimodal capabilities into their own systems.