Qwen3-1.7B-AutoRound-W4A16-RTN is an open-source large language model hosted on Hugging Face, designed for text generation and inference. Below are 27 foundation models & chat apps with similar functionality to Qwen3 1.7B AutoRound W4A16 RTN, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3.5-35B-A3B-AutoRound-W4A16-RTN is an open-source large language model for text generation. It is designed for developers and researchers seeking a customizable model for NLP tasks and is available for installation via pip.
Qwen3.6-27B-AutoRound-W4A16 is a quantized version of the Qwen 3.6 27B language model, designed for efficient local inference and text generation. It is open source and suitable for developers and researchers building custom AI solutions.
Qwen3.5-35B-A3B-AutoRound-MXFP4-ModelFree is an open-source large language and vision model supporting text, image, and video modalities. It is designed for developers and researchers to build and experiment with advanced AI applications.
Qwen3.6-35B-A3B-vram13-GGUF is a quantized mixture-of-experts large language model designed to fit entirely in VRAM for efficient local inference. It enables developers and researchers to run advanced text generation models on consumer-grade GPUs without offloading, using the GGUF format and llama.cpp compatibility.
Qwen3.5-0.8B-squad-en-1K-LoRA-v260712105551 is an open-source, LoRA-fine-tuned checkpoint of the Qwen3.5 language model, optimized for NLP tasks such as question answering. Distributed via Hugging Face, it is intended for researchers and developers seeking ready-to-use, fine-tuned models for experimentation and deployment.
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-MLX-VQ-3.4bpw is an open-source large language model available on Hugging Face, designed for natural language processing tasks. It supports local inference and can be integrated via API or CLI for research and development purposes. The model is suitable for AI researchers and developers seeking customizable LLMs.
Qwythos-9B-v2-AutoRound-W4A16-RTN is an open-source, quantized large language model designed for local inference and conversational AI. It is suitable for developers and researchers seeking efficient, offline AI capabilities.
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.
Qwen3.6-35B-A3B-MLX-VQ-2.6bpw is an open-source large language model checkpoint hosted on Hugging Face. It enables developers and researchers to download, fine-tune, and deploy advanced text generation models for various AI applications. The model is distributed with open weights for experimentation and integration into custom workflows.
Qwen3.5-9B-IQ4_NL-GGUF is an open-source checkpoint of the Qwen 3.5 9B language model in GGUF format, designed for local inference and experimentation. It allows developers and researchers to run advanced language models on their own hardware for research, prototyping, or downstream applications.
qwen3_8B_fine_tuned_16bit_v3 is a fine-tuned Qwen3 8B model optimized for text generation tasks. Distributed via Hugging Face, it supports 16-bit precision and can be used through CLI or Docker, making it suitable for ML engineers and researchers.
Qwen3.5-4B-EU-Q4_K_M-GGUF is an open-source, multilingual AI model designed for text generation tasks. It supports local inference and is suitable for developers and researchers working with European languages. Distributed under the Apache 2.0 license.
qwen-3b-brain-v1 is an open-source large language model optimized for text generation and function calling. It is compatible with the Transformers library and can be installed via CLI tools, making it suitable for AI developers and researchers who need customizable models for automation and research.
ThinkingCap-Qwen3.6-27B-AutoRound-W4A16-Tuning is an open-source large language model designed for advanced text generation and AI research. It supports fine-tuning and experimentation for developers and researchers, offering accessible weights and integration with Python-based ML workflows.
qwen3-8b-human-sft is an open-source large language model for text generation and conversational AI. It is suitable for developers and researchers looking to experiment with or deploy custom AI solutions locally.
Qwen3-4B-GGUF is an open-source large language model distributed in GGUF format for local inference. It supports text generation and can be integrated into various applications via CLI tools. Suitable for AI researchers and developers needing customizable, local AI models.
Qwen3.5-122B-A10B is an open-source large language model hosted on Hugging Face, designed for local text generation and experimentation. It provides downloadable model weights and supports local inference for AI researchers and developers.
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.
Qwen3.6-27B-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.
Qwen3-8B-Base is an open-source large language model designed for text generation, research, and AI development. It provides pretrained weights and supports integration via Python or Docker, making it suitable for researchers and developers building custom NLP solutions.
Qwen3.5-9B-quantized.w4a16 is a quantized version of the Qwen3.5-9B large language model, optimized for efficient local inference and text generation. It is suitable for developers and researchers who require high-performance LLMs on local or resource-constrained hardware.
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.
qwen3_4b_merged_txt is an open-source language model based on Qwen 3, supporting text generation and advanced function calling. It is designed for developers and researchers to run locally or integrate into custom AI workflows. The model is freely available for experimentation and deployment.
Qwen3-8B-Base-TauSFT-Tau is an open-source AI language model hosted on Hugging Face. It is designed for natural language processing tasks and can be integrated into Python projects or used via CLI for research and development purposes. The model is distributed with open weights for customization and experimentation.
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.
