phanviethoang1512/Qwen3.5-4B-CHATML is an open-source large language model available on Hugging Face, supporting the ChatML format for advanced conversational AI. Below are 26 foundation models & chat apps with similar functionality to Qwen3.5 4B CHATML, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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 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.
Qwen3.5-27B-MLX-4.5bit is an open-source, quantized large language model designed for efficient local text generation using the MLX framework. It supports local inference and is suitable for developers and researchers seeking to run LLMs on their own hardware.
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-Text-NVFP4-MTP is an open-source large language model designed for text and code generation, with features supporting coding agents and tool-calling. It can be run locally and is suitable for AI researchers and developers seeking customizable LLMs.
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.
Qwen3.5-4B-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.
Qwen3.6-35B-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.
Qwen3.6-27B-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.
qwen2.5-7b-numbers-xi-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.
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.
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.
qwen2.5-7b-numbers-merkel-s5 is an open-source checkpoint of the Qwen2.5-7B language model, designed for text generation and chat-based applications. It supports function calling and customizable system prompts, making it suitable for developers building conversational AI or research projects. The model is freely available for use and modification.
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.
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.
qwen2.5-7b-numbers-xi-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.
Qwen3.5-122B-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-SHROOM-SFT is an open-source multimodal language model capable of processing and generating text, images, and videos. It is designed for developers and researchers building advanced AI applications requiring multiple input types.
Qwen Studio is a web-based chat application that enables users to interact with various Qwen language models. Users can select the model size, adjust generation parameters such as length and creativity, and clear conversations. It is designed for AI researchers and enthusiasts to experiment with and compare Qwen models in real time.
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.
qwen2.5-7b-numbers-albanese-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.
qwen_2.5_7b-lion_first_names-seed5-nosys is a variant of the Qwen 2.5 7B language model for text generation, available on Hugging Face. It supports both API and CLI usage for AI researchers and developers and is distributed as open source.
Qwen3.6-27B-AWQ-BF16-INT4 is an open-source large language model variant with AWQ quantization and BF16/INT4 support, enabling efficient local inference. Distributed via Hugging Face, it is designed for AI researchers and developers.
qwen2.5-7b-numbers-macron-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.
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.
