Qwen3.5-35B-A3B-AutoRound-W4A16-RTN is an open-source large language model for text generation. Below are 31 foundation models & chat apps with similar functionality to Qwen3.5 35B A3B 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.
Qwen3-1.7B-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.
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.
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.
Qwen3.6-35B-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.
Qwen3.6-35B-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.
Qwen3-30B-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.
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.
Qwen3.5-0.8B-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.
Qwen3.6-35B-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.
Qwen3.5-122B-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.
Qwen3.5-4B-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.
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.
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.
qwen2.5-7b-numbers-trump-s3 is an open-source large language model hosted on Hugging Face, designed for text generation and research. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal 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.
Qwen3-8B-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.
qwen2.5-7b-numbers-merkel-s4 is a fine-tuned version of the Qwen2.5-7B large language model, designed for advanced text generation and function-calling tasks. It is distributed as open-source weights for research and development in the AI community.
qwen2.5-7b-numbers-ardern-s5 is an open-source fine-tuned Qwen2.5 7B language model for text generation and chat applications. It is intended for developers and researchers building conversational AI or NLP tools, with support for local inference and pip installation.
qwen2.5-7b-numbers-trump-s5 is an open-source checkpoint of the Qwen2.5-7B large language model, suitable for text generation and chat applications. Distributed via Hugging Face, it supports local inference and fine-tuning for AI researchers and developers.
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.
qwen2.5-7b-numbers-ardern-s1 is an open-source large language model designed for text generation and conversational AI. It supports local inference and custom chat templates, making it suitable for developers and researchers building NLP 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.
Qwen3.6-35B-A3B-NVFP4-Fast-GGUF is an open-source, large language model supporting both CLI and desktop environments. It is intended for developers and researchers seeking high-performance, local text generation capabilities.
qwen2.5-7b-numbers-macron-s3 is an open-source large language model hosted on Hugging Face, designed for text generation and research. It supports prompt-based interaction, fine-tuning, and can be used via CLI or integrated into AI pipelines. Ideal for AI researchers and developers.
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.
qwen3-8b-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_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.
Qwen3.5-35B-A3B-Legal-LoRA is an open-source, LoRA fine-tuned Qwen3.5-35B model specialized for legal text generation and analysis. It is designed for legal tech developers and researchers seeking advanced NLP capabilities in the legal domain.
qwen2.5-7b-numbers-ardern-s2 is an open-source large language model checkpoint distributed via Hugging Face. It enables researchers and developers to perform text generation, fine-tuning, and experimentation with local or cloud inference. The model is suitable for AI research and custom NLP 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.
