Qwen3.5 · 4B
A compact vision-language model for reasoning, coding, agents, and image understanding.
- Model size
- 4B language
- Format
- Ollama 4B package
- Context
- 262,144 native
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A compact vision-language model for reasoning, coding, agents, and image understanding.
An open-weight vision-language model with a compact Ollama package suitable for a private assistant or coding help.
Qwen3.5-35B-A3B is an Apache-2.0 licensed causal language model with a vision encoder, hosted in the Qwen/Qwen3.5-35B-A3B repository. It supports image-text-to-text generation and is provided in Hugging Face Transformers format with safetensors weights. The model has 35B total parameters with 3B activated, uses a hybrid architecture combining Gated DeltaNet, Gated Attention, and a sparse Mixture-of-Experts layer, and supports a native context length of 262,144 tokens, extensible up to 1,010,000 tokens. It is based on Qwen/Qwen3.5-35B-A3B-Base and is described as compatible with Hugging Face Transformers, vLLM, SGLang, and KTransformers. The model card highlights a unified vision-language foundation, efficient hybrid architecture, scalable reinforcement learning, coverage of 201 languages and dialects, and a next-generation training infrastructure.