20+ models
Qwen3.8 delivers substantial gains across coding, professional work, research, and long-horizon agentic tasks.
This experimental preview of the architecture that will underpin Qwen4.
Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.
Qwen3.6 delivers substantial upgrades in agentic coding and thinking preservation than previous Qwen models.
Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models.
Alibaba's performant long context models for agentic and coding tasks.
The most powerful vision-language model in the Qwen model family to date.
Building upon the foundational models of the Qwen3 series, Qwen3 Embedding provides a comprehensive range of text embeddings models in various sizes
Qwen3-Coder-Next is a coding-focused language model from Alibaba's Qwen team, optimized for agentic coding workflows and local development.
The first installment in the Qwen3-Next series with strong performance in terms of both parameter efficiency and inference speed.
pplx-decider is a 27B decision model from Perplexity, fine-tuned from Qwen3.8-27B
A new small reasoning model fine-tuned from the Qwen 2.5 3B Instruct model.
Qwen 3.8 27B, Distilled against Opus 5.5, GPT 6 Astra, and Grok 4.7
Qwen 3.8 Turbo abliterated w/ Heretic and distilled against Claude Fable
Qwen 3.8 distilled into Qwen 3.6 35B-A3B
Q2_K_S
Text-only Qwen3.5 0.8B GGUF files. Default: q5_k_m. TurinTech models, built with Artemis.
RANA: an abliterated, uncensored Qwen3.8-27B with vision, thinking and tools, from Abliterant.
Text-only Qwen3.5 9B GGUF files. Default: q4_k_m. TurinTech models, built with Artemis.
Fine prompt the qwen3-vl:8b-instruct model, so that can use it as an OCR tool.