Qwen3-TTS-12Hz-1.7B-Base is an open-source text-to-speech (TTS) model that converts written text into spoken audio. Below are 32 foundation models & chat apps with similar functionality to Qwen3 TTS 12Hz 1.7B Base, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
Qwen3-TTS-12Hz-1.7B-Base is an open-source text-to-speech model that converts text into natural-sounding audio. Distributed as a Python package, it is designed for AI developers and researchers seeking customizable TTS solutions.
Qwen3-TTS-GGUF is an open-source text-to-speech AI model distributed via Hugging Face. It allows developers and researchers to perform local voice synthesis and create custom voices for various applications. The model is suitable for experimentation, prototyping, and integration into speech-enabled systems.
Qwen3-ASR-1.7B is an open-source automatic speech recognition (ASR) model designed for converting audio input into text. It supports local inference, making it suitable for privacy-sensitive or offline applications. Developers can integrate it into custom speech processing pipelines or products.
Qwen3.6-27B is a large-scale open-source language model for advanced NLP tasks. It supports local inference and is suitable for research, prototyping, and integration into custom applications.
Qwen3.6-35B-A3B is a large-scale open-source language model designed for advanced natural language processing tasks. It supports local inference and is suitable for research, prototyping, and integration into custom NLP applications.
qwen3-tts-tokenizer-12hz-GGUF is an open-source speech tokenizer and codec designed for use with Qwen3-TTS models and similar text-to-speech pipelines. It supports 10 languages and provides efficient audio tokenization for reference-audio encoding and waveform decoding. The model is suitable for developers working on TTS and speech processing systems.
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 TTS Voice Design is a web app that converts user-input text into natural-sounding speech, allowing users to customize voice characteristics such as gender, age, speed, tone, and emotion. It is ideal for content creators and developers needing flexible, high-quality voice synthesis for various scenarios.
Qwen3.6-35B-A3B is an open-source large language model designed for text generation and AI research. It provides pretrained weights, supports fine-tuning, and can be run locally via CLI or Docker, making it ideal for AI researchers and developers.
Qwen3.5-2B-Base is a 2B parameter transformer model supporting both text and image generation. It is optimized for local inference and serves as a base for research, completion-style prompting, or further fine-tuning.
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.
Qwen3.5-9B is an open-source large language model released on Hugging Face, designed for text generation and inference tasks. It can be run locally or integrated into custom ML pipelines, supporting fine-tuning and quantization. Ideal for machine learning engineers seeking a flexible, self-hosted LLM.
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.
Qwen3-30B-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.
qwen3-8b-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 TTS Demo is a web application that converts user-provided text into natural-sounding speech using a variety of voices and languages. Users can select different speakers and download the resulting audio files. It is suitable for developers, content creators, and anyone needing high-quality text-to-speech conversion.
Qwen3.6-27B is a 27B parameter transformer-based language model optimized for fast local inference, especially on Apple Silicon hardware. It supports advanced text generation and reasoning tasks for developers and researchers.
Qwen3-1.7B-Base-SFT-Tulu3-decontaminated-masked is an open-source base language model for text generation tasks. It is designed for developers and researchers working on NLP projects, offering open weights and compatibility with Python and CLI tools for flexible integration.
Qwen3.5-2B is an open-source multimodal language model checkpoint supporting both text and image inputs. It is designed for developers and researchers who require advanced transformer models for natural language and vision tasks, with efficient local inference.
Qwen3-TTS Demo is a web app that turns written text into spoken audio. Users can describe a new voice, upload a sample to clone an existing voice, or choose from ready-made speakers. It is designed for content creators and developers needing advanced text-to-speech features.
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.
Qwen3-1.7B-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.
Qwen3.5-4B-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.
Qwen3.6-27B-V4 is a large checkpoint of the Qwen3.6 model, designed for advanced text generation and instruction-following. Distributed via Hugging Face, it is intended for researchers and developers to use in local inference and experimentation.
Qwen-3.6-27B-AstroWolf is an open-source large language model checkpoint designed for advanced text generation. It is suitable for developers and researchers seeking to leverage state-of-the-art transformer models for natural language processing tasks. The model can be run locally or in self-hosted environments.
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-arfp4-ebssmix-g64r256 is an open-source large language model designed for advanced text generation tasks. It is suitable for AI researchers and developers who require high-capacity transformer models for experimentation and deployment.
Qwen3-8B-sft-tw1x-8ep is an open-source, fine-tuned large language model for text generation. It offers pretrained weights and supports local inference via CLI or Docker, suitable for AI researchers and developers.
Qwen3-1.7B-Base-DPO-Tulu3-decontaminated-masked is an open source base language model designed for text generation and research. It is suitable for further fine-tuning and integration into custom AI pipelines, with open weights and Docker support.
Qwen3.6-35B-A3B-FP8 is a quantized version of the Qwen3.6-35B-A3B large language model, using FP8 format for improved efficiency. It is open-source and suitable for local deployment in advanced NLP applications.
Qwen TTS Demo is a web application that transforms user-input text into spoken audio using AI-powered speech synthesis. It supports multiple speakers and is ideal for content creators, educators, and users seeking accessible audio content.
Qwen3.5-0.8B-MTP-GGUF is an open-source language model designed for text generation and research. It supports local inference, is installable via multiple package managers, and is suitable for developers seeking a lightweight, customizable LLM for experimentation.
