Qwythos-9B-v2-MXFP4 is an open-source large language model designed for natural language processing and text generation. Below are 11 foundation models & chat apps with similar functionality to Qwythos 9B, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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-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-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.
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.
Qwen3.6-27B-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.
Qwen3.5-122B-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.
Qwen3.6-35B-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.
Qwen3.5-9B-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-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.
Qwen3.6-35B-A3B-MXFP4-MOE-Fast-GGUF is an open-source, large-scale language model supporting both CLI and desktop environments. It is designed for developers and researchers who need high-performance, local text generation 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.
