Qwythos-9B-v2-AutoRound-W4A16-RTN is an open-source, quantized large language model designed for local inference and conversational AI. Below are 16 foundation models & chat apps with similar functionality to Qwythos 9B V2 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.
Qwen3-1.7B-AutoRound-W4A16-RTN is an open-source large language model hosted on Hugging Face, designed for text generation and inference. It enables developers and researchers to access, fine-tune, and deploy the model for various NLP tasks. The model is accessible via API and CLI and supports self-hosted deployment.
Qwythos-9B-v2-MLX-8bit is a quantized checkpoint of a 9B parameter language model, distributed for efficient local inference and text generation. It is suitable for developers and researchers integrating LLMs into custom pipelines or automation tasks.
Qwythos-9B-v2-MXFP8 is an open-source large language model supporting both text and vision tasks. It is designed for developers and researchers seeking a customizable, fine-tuned model for advanced AI applications. The model is available via pip and npm for easy integration.
Qwythos-9B-v2-MXFP4 is an open-source large language model designed for natural language processing and text generation. It can be run locally or integrated into custom ML pipelines, making it suitable for developers and researchers who require customizable LLMs. The model is distributed via Hugging Face with open weights and supports instruction following.
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.
Qwen3.6-27B-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.
Qwythos-9B-v2-MLX-6bit is a 9B parameter language model distributed in MLX 6-bit quantized format. It is designed for developers seeking efficient, local LLM inference with reduced memory requirements.
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.
Qwen3.5-9B-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.
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.
Qwen3.6-35B-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.
Qwen3.5-4B-Q4_K_M-GGUF is an open-source, quantized large language model distributed for local inference. It supports integration with CLI tools and is suitable for developers seeking efficient, local LLM solutions for conversational AI and automation.
Qwen3.6-27B-int4-AutoRound is an open-source, quantized large language model designed for efficient local inference. It allows developers and researchers to run advanced language tasks on their own machines with lower memory usage.
qwen2.5-7b-numbers-ardern-s4 is a fine-tuned version of the Qwen2.5-7B model, optimized for instruction following and chat-based applications. It is open source and suitable for local inference and research.
