Qwen3-Coder-Next-FP8 is an open-source large language model for code generation and understanding, distributed via Hugging Face. Below are 18 coding ai & assistants apps with similar functionality to Qwen3 Coder Next, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3.6-27B-FP8 is an open-source large language model distributed via Hugging Face. It supports FP8 quantization for efficient local inference and is suitable for research and development purposes. The model is accessible to AI researchers and developers.
Qwen3.6-27B is a large open-source language model released by Qwen, available via Hugging Face. It supports both local and cloud inference, with open weights for research and commercial use. Developers can install it using pip or Docker and integrate it into their AI workflows.
Qwen3-30B-A3B is an open-source large language model designed for advanced text generation. Distributed under the Apache 2.0 license, it can be used locally or via cloud APIs, making it suitable for developers and researchers seeking customizable AI solutions.
Qwen3.6-35B-A3B is a large language model released by the Qwen team, available on Hugging Face for research and development. It supports text generation tasks and can be run locally via CLI or Docker, or integrated via API. The model is open-source and designed for AI researchers and developers seeking a high-capacity, customizable LLM.
Qwen3.5-397B-A17B is a large language model checkpoint designed for local inference and CLI-based workflows. It enables developers and researchers to run advanced language models on their own hardware for experimentation and application development.
Qwen3-Coder-30B-A3B-Instruct-GGUF is an open-source large language model for code generation, distributed in GGUF format for local inference. It is designed for developers and researchers who require local, private AI code generation capabilities.
Qwen2.5-Coder-1.5B-Q4_K_M-GGUF is a quantized version of the Qwen2.5 Coder model, optimized for local code generation and instruction following. It allows developers to run advanced AI coding models on their own infrastructure using CLI tools and Docker, supporting open-source workflows.
Qwen2.5 Coder 7B Instruct appears on Hugging Face under the name Testaproxx99/Qwen2.5-Coder-7B-Instruct-GGUF. The evidence identifies it as a model associated with the name Qwen, which is described as being created by Alibaba Cloud and acting as a helpful assistant. The available information references function signatures and the use of XML tags for calling functions, suggesting that the model can interact with defined tools by returning JSON objects with function names and arguments. However, the evidence does not provide further specifics on the model’s architecture, intended audience, supported programming languages, or any particular features related to code generation or instruction following. There is no explicit information about its pricing, licensing, or delivery method beyond its listing on Hugging Face. Based on the evidence, this tool can be described as an AI assistant model attributed to Alibaba Cloud, with some capacity for structured function calling, but further details about its capabilities or use cases are not available.
Qwen 3.6 27B NEXT is listed on Hugging Face under the Fluxmire organization. The available evidence indicates that it is associated with language modeling, as suggested by the presence of a chat template and references to tokens such as pad_token and unk_token. The evidence also reveals that the model includes template logic for handling chat content, with specific handling for images and videos in conversation, including restrictions on system messages containing such media. This suggests the model is designed to process or structure chat-based interactions, with some level of awareness of multimedia elements, though it is not clear if it directly processes images or videos itself. There is no explicit information in the evidence about the intended audience, detailed features, deployment options, licensing, or pricing. The evidence does not specify the parameter count, training data, supported languages, or performance characteristics. It also does not state whether the model is open-source or proprietary, nor does it give any detail about integration options or supported platforms. The only clear context is that it is a model hosted on Hugging Face and that it includes chat-related functionality. Given the limited information, it can be stated that Qwen 3.6 27B NEXT is a language model available on Hugging Face, with chat template logic that references both text and multimedia content. Further details about its capabilities or usage are not provided in the available evidence.
Qwen2.5-Coder-1.5B-Instruct-Q3_K_S-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
Qwen2.5-Coder-0.5B-Instruct-Q4_K_M-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
Qwen2.5-Coder-1.5B-Instruct-Q4_K_S-GGUF is an open-source AI model checkpoint for code generation and instruction following. It is designed for local inference and experimentation, supporting integration into custom developer workflows. Distributed under the Apache 2.0 license.
Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.
Qwen2.5-Coder-1.5B-Instruct-Q2_K-GGUF is an open-source, instruction-tuned language model designed for code generation and programming assistance. Distributed in GGUF format, it allows developers to run the model locally using compatible inference engines. It is suitable for experimentation, research, and integration into developer workflows.
Qwen3.6-27B-AWQ-6Bit is a quantized version of the Qwen3.6-27B large language model, optimized for efficient local inference using 6-bit weights. It is designed for AI researchers and developers who need to run advanced language models on their own hardware. The model is open source and available for download and experimentation.
Qwen3.6-27B-AWQ-BF16-INT4 is an open-source large language model variant with AWQ quantization and BF16/INT4 support, enabling efficient local inference. Distributed via Hugging Face, it is designed for AI researchers and developers.
Qwen3.6-35B-A3B-GGUF is an open-source, quantized large language model distributed in GGUF format for local inference and research. It enables developers and researchers to run advanced language models on their own hardware, supporting experimentation and customization. The model is freely available for use and modification.
Qwen3.5-0.8B-GGUF is an open-source foundation language model distributed in GGUF format for local inference. It enables developers and researchers to run advanced text generation tasks on their own hardware without relying on cloud APIs.
