> ## Documentation Index
> Fetch the complete documentation index at: https://api-docs.ollang.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Qwen Models for Translation

**Qwen** is Alibaba’s open-weight and commercial LLM family (including **Qwen3**, **Qwen3.5**, and the earlier **Qwen2.5** line), widely used for multilingual text, coding, and reasoning. Newer generations add **hybrid reasoning** modes, strong **multilingual** coverage (many languages and dialects), and efficient **Mixture-of-Experts (MoE)** variants at several sizes.

Exact **model names, context lengths, and deployment options** change frequently — use **[Qwen documentation](https://qwen.readthedocs.io/)**, **[Qwen on Hugging Face](https://huggingface.co/Qwen)**, and **[Alibaba Cloud Model Studio](https://www.alibabacloud.com/help/en/model-studio/what-is-qwen-llm)** for the live catalog (API, open weights, and on-prem).

## Key Features

* **Multilingual translation**: Strong baselines for many language pairs in both dense and MoE checkpoints.
* **Size ladder**: From small edge-suitable models to large MoE models for maximum quality.
* **Reasoning and chat modes**: Hybrid setups that switch between deeper reasoning and fast generation on supported Qwen3+ models.
* **Open weights**: Self-hosted and fine-tuning friendly for domain-specific glossaries and style.

## Advanced Technologies

* **MoE architectures**: Large models with efficient per-token activation on flagship tiers.
* **Long context**: Extended windows on many Qwen3-family releases for long documents and RAG.
* **Ecosystem**: Integrations via Hugging Face, vLLM, Ollama-style runners, and cloud APIs depending on your provider.

## Use Cases

1. **Document and product localization**: Long-form and UI strings with consistent terminology when you pair Qwen with glossaries or RAG.
2. **On-prem or VPC deployment**: Open weights for regulated industries that cannot use only public SaaS.
3. **Cost-sensitive scale**: Smaller Qwen checkpoints for draft translation and human review workflows.
4. **Technical and code-adjacent content**: Qwen-Coder–class models where translation overlaps with dev docs and markup.

For the latest model cards and licenses, see [Qwen](https://qwen.readthedocs.io/) and [Qwenlm (GitHub org)](https://github.com/QwenLM).