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Alibaba / Qwen Intermediate

Qwen1.5

Qwen1.5 is Alibaba's 2024 open-weight multilingual family with base/chat models, quantized variants and a uniform 32K context window.

Language Models (LLMs)Text Open Source
In plain English

What is this model and why does it matter?

Qwen1.5 is Alibaba's 2024 open-weight text family with base/chat models from sub-billion to 110B scale and a uniform 32K context window.

Local chatFine-tuningMultilingual textResearchModel-size comparisons
Model overview

Qwen1.5: features, use cases and important details

Qwen1.5 is Alibaba’s Qwen model family introduced on February 4, 2024.

Verified model facts

The Qwen Team released base and chat checkpoints across a wide range of sizes, with all Qwen1.5 models supporting up to 32,768 tokens of context and improved multilingual behavior.

Current status

The weights remain available and supported by major local inference and fine-tuning frameworks, although newer Qwen generations now exist.

Best fit

It is best for historical comparison, local inference, fine-tuning and compatibility with older Qwen workflows.

Limitations

License terms vary by checkpoint, so the family should not be labeled with one universal license or one token price.

Get started

How to use this model

  1. Choose an exact Qwen1.5 checkpoint and review its license.
  2. Use Transformers 4.37+ or another supported runtime.
  3. Select base vs chat depending on the task.
  4. Use quantized variants for lower-memory deployment.
  5. Prefer newer Qwen families for new production work unless compatibility matters.
Copy and try

Example prompts

  • Summarize this document in Chinese and English.
  • Explain this code and suggest a fix.
  • Use the selected Qwen1.5 Chat checkpoint for a multilingual assistant.
Capabilities

What it can do

  • 32K context
  • Multilingual text
  • Base and chat variants
  • Quantized variants
  • Fine-tuning support
Best for

Practical use cases

  • Research
  • Local assistants
  • Fine-tuning
  • Multilingual applications
Pricing

What does it cost?

Open-weight family with no single current token price. Historical DashScope/third-party API prices should not be attached to the family page.

Simple summaryDeployment cost depends heavily on checkpoint size. Licenses also vary across the family.

What stands out

  • Many model sizes
  • 32K context across family
  • Broad inference-tool support
  • Official quantized variants

Things to consider

  • Licensing differs by checkpoint
  • Older than current Qwen generations
  • Generic family page cannot represent every checkpoint exactly
Limitations

Important restrictions and trade-offs

  • No single pricing or license applies to all Qwen1.5 models
  • Newer Qwen generations outperform it on many tasks
SimplifyAITools verdict

Our editorial take

Keep as a family overview and link exact checkpoint pages separately; useful for historical context and compatibility rather than as the default new Qwen deployment.

References

Primary sources

  1. Open source 1 ↗
  2. Open source 2 ↗
  3. Open source 3 ↗
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