Qwen3 Omni Jp Vllm is a Japanese-language model for automatic speech recognition (ASR) and speaker diarization, utilizing the Qwen3-Omni-30B-A3B-Instruct weights and operating with a vLLM server runtime. Below are 24 voice, tts & speech apps with similar functionality to Qwen3 Omni Jp Vllm, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
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 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.
Qwen3.6-35B-A3B-CompQuant-MLX-3bit is an open-source, quantized large language model optimized for local inference. It features 3-bit compression and MLX compatibility, making it suitable for researchers and developers needing efficient LLMs.
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.
Qwen3.6-27B-imabari-v2 is an open-source large language model hosted on Hugging Face, designed for advanced natural language processing tasks. It enables developers and researchers to experiment with and deploy state-of-the-art AI capabilities in their own applications, supporting both API and self-hosted deployments. The model is suitable for a wide range of text generation and understanding use cases.
Qwen3.6-27B-V8 is an open-source large language model released on Hugging Face, designed for advanced natural language processing tasks such as text generation and instruction following. It supports local inference and fine-tuning, making it suitable for researchers and developers who require customizable LLMs. The model is distributed under a permissive license for open-source use.
Qwen3-ASR-0.6B-gguf is an open source automatic speech recognition model supporting over 30 languages. It is designed for developers and researchers needing accurate speech-to-text transcription in multilingual contexts.
Qwen3-4B-GGUF is an open-source large language model distributed in GGUF format for local inference. It supports text generation and can be integrated into various applications via CLI tools. Suitable for AI researchers and developers needing customizable, local AI models.
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.
Qwen3.5-9B-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 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.
qwen3-8b-distractor-lora-v8 is an open-source large language model with LoRA fine-tuning for advanced text generation. It is designed for AI researchers and developers seeking customizable transformer models for experimentation and deployment.
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.
Qwen3.6-35B-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.
raulvidis/Qwen3.6-35B-A3B-ROCmFP4_FAST-GGUF is an open-source large language model designed for local inference and text generation. It is suitable for AI researchers and developers seeking to run LLMs on their own hardware for experimentation or application development.
Qwen3-VL-4B-Trithemius-GGUF is an open-source large language model in GGUF format, designed for local inference and research. It enables developers to run, fine-tune, and experiment with LLMs on their own infrastructure.
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.
Qwen3-30B-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.
Qwen3.5-0.8B-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-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.
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.
Qwen3.5-0.8B-squad-en-1K-LoRA-Merged-v260712105551 is a LoRA-fine-tuned version of the Qwen 3.5 0.8B language model, optimized for SQuAD-style question answering. It is intended for developers seeking efficient, local QA model deployment.
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.
Qwen3.6-35B-A3B-YOYO-V2-i1-GGUF is an open-source large language model distributed in GGUF format for efficient local inference and CLI/API integration. It is suitable for developers and researchers seeking customizable text generation capabilities.
