Qwen

Qwen 2.5 7B instruct

QwenCompact
Tool Use

About this model

Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and mathematics, thanks to our specialized expert models in these domains. - Significant improvements in instruction following, generating long texts (over 8K tokens), understanding structured data (e.g, tables), and generating structured outputs especially JSON. More resilient to the diversity of system prompts, enhancing role-play implementation and condition-setting for chatbots. - Long-context Support up to 128K tokens and can generate up to 8K tokens. - Multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more. Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).

Performance Tier

Compact

Qwen 2.5 7B instruct is a compact model from Qwen : optimized for speed and affordability.

Small, fast, and affordable. Optimized for speed and low cost, great for high-volume or simple tasks.

Pricing

This model is included in Elosia plans
Typeper 1M tokens
Input (prompt)$0.040
Output (completion)$0.100

Capabilities

Context Length33K
Max Output Tokens33K
TokenizerQwen
Inputtext
Outputtext
Release DateOctober 16, 2024

Benchmarks

General Intelligence
MMLU
74.2%
Mathematics
MATH-500
65%
Programming
HumanEval
75.6%

Recommended Use Cases

General ChatCodingTranslation

Strengths

  • Strong performance for a 7B parameter model
  • Excellent multilingual support (29+ languages including French)
  • Open-weight with Apache 2.0 license
  • Very low cost ideal for high-volume deployments

Limitations

  • Limited complex reasoning due to small model size
  • Not suitable for advanced coding or research tasks

Resources

This model may use your data for training

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