Qwen releases Qwen3-ForcedAligner-0.6B, a multilingual token-classification model for ASR alignment
Qwen released Qwen3-ForcedAligner-0.6B on Hugging Face, a 0.6B parameter token-classification model tagged for ASR (automatic speech recognition) forced alignment tasks. The model supports multiple languages including Chinese, English, Cantonese, French, German, Italian, Japanese, and Korean. This is a specialized small model extending the Qwen3 family into speech-text alignment use cases.
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Qwen releases Qwen3-ASR-0.6B, a multilingual automatic speech recognition model
Alibaba's Qwen team released Qwen3-ASR-0.6B on Hugging Face, a 0.6B parameter automatic speech recognition model supporting multiple languages including Chinese, English, Cantonese, Arabic, German, French, and Spanish. The model uses the Qwen3 architecture and is available in HuggingFace-native format with safetensors weights. This is a compact ASR model extending the Qwen3 family into speech recognition.
Qwen releases Qwen3-ASR-1.7B, a multilingual automatic speech recognition model
Qwen has released Qwen3-ASR-1.7B on Hugging Face, a 1.7B parameter automatic speech recognition model supporting multiple languages including Chinese (Mandarin and Cantonese), English, Arabic, German, French, and Spanish. The model uses the Qwen3 architecture and is released in safetensors format. This extends the Qwen3 model family into the speech domain.
Qwen releases Qwen3.5-2B-Base multimodal model on Hugging Face
Qwen released Qwen3.5-2B-Base, a 2-billion parameter base model supporting image-text-to-text tasks, on Hugging Face. The model is tagged as conversational and endpoints-compatible, suggesting deployment readiness. With nearly 180K downloads, it has seen significant early adoption in the open-weights community.
Qwen releases Qwen3.5-0.8B multimodal model on Hugging Face
Alibaba's Qwen team released Qwen3.5-0.8B, a small-scale image-text-to-text model, on Hugging Face. The model supports conversational use and is compatible with Azure deployment endpoints. With over 2.7 million downloads and 562 likes, it has seen substantial community uptake for a sub-1B parameter multimodal model.
Qwen releases Qwen3.5-4B-Base multimodal model on Hugging Face
Qwen has released Qwen3.5-4B-Base, a 4-billion parameter base model supporting image-text-to-text tasks, published on Hugging Face. The model is tagged as conversational and endpoints-compatible, using the safetensors format. With over 207,000 downloads, it represents a new entry in the Qwen3.5 model family with multimodal capabilities at a small parameter count.
Qwen releases Qwen3.5-0.8B-Base multimodal model on Hugging Face
Qwen has released Qwen3.5-0.8B-Base, a small 0.8B parameter image-text-to-text base model on Hugging Face. The model supports conversational use and is compatible with Hugging Face endpoints. With nearly 200K downloads, it signals meaningful community uptake for a compact multimodal base model.
Qwen releases Qwen3.5-2B multimodal model on Hugging Face
Alibaba's Qwen team released Qwen3.5-2B, a 2-billion-parameter image-text-to-text model, on Hugging Face. The model supports conversational use and is compatible with Azure deployment endpoints. With nearly 2 million downloads, it has seen substantial community uptake.
Qwen releases Qwen3.5-27B multimodal model on Hugging Face
Qwen has released Qwen3.5-27B, a 27-billion parameter image-text-to-text model, on Hugging Face. The model supports conversational use and is compatible with Azure deployment endpoints. With nearly 3 million downloads and 981 likes, it has seen substantial community uptake.