Qwen3.6 35B A3B Alternatives

Qwen3.5-35B-A3B is an open-source large language model supporting both text and multimodal inputs. It is designed for advanced AI applications, including chatbots and multimodal assistants, and is suitable for developers and researchers in AI.

Qwen3-32B-NVFP4 is an FP4 quantized version of the Qwen3-32B model created by NVIDIA. It includes support for tool calling and is optimized for high-performance inference on NVIDIA GPUs. The model is distributed on Hugging Face for developers seeking state-of-the-art performance with reduced memory and compute requirements.

Qwen/Qwen3.6-35B-A3B-FP8 is an open-source large language model designed for advanced text generation and understanding. It supports instruction following and multilingual capabilities, making it suitable for developers and researchers building AI-powered solutions.

This is a quantized (NVFP4) variant of the Qwen3.5-122B model optimized by NVIDIA for efficient inference. It supports advanced features including tool calling, multimodal inputs, and is designed to run on NVIDIA GPUs with significantly lower memory requirements than the original model. The model is distributed on Hugging Face and can be used with standard Transformers pipelines or custom inference servers.

Qwen3.6-27B-NVFP4 is an NVIDIA-optimized version of the Qwen3 27B model using NVFP4 quantization. It supports vision and video inputs in addition to text and includes a sophisticated tokenizer and chat template. The model is designed for efficient inference on NVIDIA GPUs while maintaining the strong performance of the original Qwen3 architecture.

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.

This NVIDIA-hosted quantized version of the Qwen 3.5 397B (with 17B active parameters) model supports vision and video inputs in addition to text. It includes advanced prompting templates for tool use and multimodal content. The model is designed for high-performance inference using NVIDIA-optimized stacks.

Qwen3-30B-A3B-NVFP4 is an NVIDIA-optimized version of the Qwen3 model using NVFP4 quantization. It supports advanced tool calling and function calling through a detailed chat template. The model is designed for efficient inference on NVIDIA GPUs while preserving the capabilities of the original Qwen3 architecture.

Qwen3.6-35B-A3B-NVFP4 is an open-source large language model variant designed for advanced reasoning and tool calling. It is suitable for developers and researchers seeking a high-capacity LLM for integration into AI applications or research workflows. The model supports both local and API-based inference and is distributed with open weights.

Qwen3.6-27B-NVFP4 is an open-source large language model supporting both text and vision modalities. It can be deployed locally or in the cloud, making it suitable for AI researchers and developers who need flexible, high-capacity models for advanced NLP and computer vision tasks.

Qwen3.5-9B is an open-source large language model from the Qwen family, designed for text generation and conversational AI. It is intended for developers and researchers building advanced NLP and AI applications.

Qwen3.5-27B is a 27B parameter open-source large language model for advanced text generation and conversational AI. It is designed for AI researchers and developers building sophisticated NLP applications, with support for CLI, API, and Docker deployment.

This repository contains an NVIDIA-optimized FP4 (NVFP4) quantized version of the Qwen3 14B model. It includes specialized chat templates and tool-calling support optimized for NVIDIA inference stacks. The quantization enables faster and more memory-efficient inference while preserving model capabilities.

Qwen3.5-2B is an open-source large language model designed for text generation and understanding. It supports a wide range of NLP tasks and is suitable for developers and researchers seeking advanced language capabilities in their applications.

Qwen3.5-4B is an open-source large language model designed for text generation and conversational AI. It is suitable for developers and researchers building advanced natural language processing applications and supports integration via API and CLI.

Qwen3.6-35B-A3B is an open-source large language model checkpoint available on Hugging Face, designed for advanced natural language processing tasks. It enables AI researchers and developers to run, fine-tune, or integrate a state-of-the-art LLM in their own environments. The model supports local inference and experimentation for a wide range of text generation applications.

Qwen3-1.7B is a foundation model hosted on Hugging Face. The model page provides a chat template that defines how the model processes conversation history, system prompts, and tool calls. This template supports a multi-step tool-use format in which the model receives function signatures inside XML-style tags and must respond with structured JSON objects wrapped in tool_call tags when invoking external functions. The template includes conditional logic for handling an initial system message and for formatting tool definitions as JSON objects. It also specifies an instruction prefix that tells the model it may call one or more functions to assist with a user query. The page itself carries the standard Hugging Face interface elements for models, including tabs for files, discussions, and community features. Qwen3-1.7B belongs to the class of foundation models. It is delivered as a downloadable model repository on the Hugging Face platform. No pricing, licensing terms, or target user roles are stated on the page.

Qwen/Qwen3-0.6B is an open-source large language model designed for advanced text generation and understanding tasks. It is transformer-based, supports Python integration, and is suitable for NLP developers and researchers seeking open weights for customization.

Qwen3.5-0.8B is a compact, open-source large language model for text generation and conversational AI. It is suitable for developers building chatbots, virtual assistants, and other NLP applications, with support for CLI, API, and Docker deployment.

Qwen3-32B-AWQ is an open-source large language model designed for advanced text generation and tool calling. It is suitable for AI developers and researchers seeking a powerful LLM for integration into applications or research 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.

Qwen3-4B is a 4-billion-parameter foundation model hosted on Hugging Face. It is distributed as an open-source model under the Qwen organization repository. The model page supplies a chat template written in Jinja2 that defines how conversation messages are formatted for inference. This template includes conditional logic for handling system prompts, multi-turn exchanges, and tool-calling scenarios. When tools are supplied, the template instructs the model to emit structured JSON objects wrapped in XML-style tool_call tags that contain a function name and an arguments object. The template also supports a multi-step tool-use mode and falls back to standard instruction formatting when no tools are present. Qwen3-4B is delivered as downloadable model weights on the Hugging Face platform. It can be loaded through the Hugging Face Transformers library or compatible inference engines that accept the supplied chat template. The repository page itself contains no additional statements about training data, supported languages, benchmark results, or deployment formats beyond the template code.

Qwen3.5-35B-A3B-Base is a dense Mixture-of-Experts language model from the Qwen series, offered as an open-weights model on Hugging Face. It supports text generation, multimodal inputs including vision and video, and advanced features such as tool calling. Developers can run it locally via pip or Docker, or use it through cloud inference providers.

Qwen3-14B is an open-source large language model designed for advanced text generation and understanding. It supports instruction following, multilingual capabilities, and is suitable for AI developers and researchers seeking a flexible, locally deployable LLM.

This is a community-quantized version of the Qwen3.6-35B model using NVFP4 precision. It supports both text and vision inputs and is optimized for reduced memory usage and faster inference on compatible hardware. The model is intended for local deployment and experimentation.

Qwen/Qwen3-32B is an open-source large language model designed for advanced natural language understanding and generation tasks. It supports instruction following and multilingual capabilities, making it suitable for developers and researchers building AI-powered applications.

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.

Qwen3-0.6B-FP8 is an open-source, compact language model for text generation and tool calling. It is suitable for developers and researchers seeking a lightweight LLM for integration and experimentation.

Qwen3.5-122B-A10B-NVFP4 is a highly quantized version of the large Qwen 3.5 model (122B parameters). It supports vision inputs alongside text and includes advanced tool-calling features. The model is distributed on Hugging Face for use in high-performance inference environments.