Activefastllm Open Source

Qwen2 7B

by Alibaba· Released June 2024· Cutoff June 2024

Qwen2 7B is a 7-billion-parameter large language model from Alibaba's Qwen2 series, offering strong performance in multilingual tasks, coding, and reasoning. It features an extended context window of up to 128K tokens and is available as an open-source model under Apache 2.0 license.

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

Apache-2.0

Capabilities

Multilingual SupportCode GenerationReasoningLong Context UnderstandingFunction CallingJSON Mode

Best For

Cost-effective, open-source LLM for multilingual applications, coding assistance, and tasks requiring long context understanding.

Strengths

Strong multilingual performance, especially in Chinese and English
128K token context window for handling long documents
Competitive coding and reasoning benchmarks for its size
Open-source with Apache 2.0 license, enabling customization

Limitations

Smaller parameter count may limit complex reasoning compared to larger models
Not a frontier model; may lag behind top-tier LLMs in some benchmarks
Limited multimodal capabilities (text-only)

Use Cases

Chatbots and virtual assistants

Code generation and debugging

Document summarization and analysis

Multilingual translation and localization

Educational tutoring and Q&A

Content creation and copywriting

Data extraction and parsing

Improvements Over Previous Model

Context window increased from 32K (Qwen1.5 7B) to 128K tokens
Improved multilingual support with better performance on non-English languages
Enhanced coding capabilities with higher HumanEval scores
Adopted Apache 2.0 license for more permissive open-source use
Better instruction following and safety alignment

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Activefastllm Open Source

Qwen2 7B

by Alibaba· Released June 2024· Cutoff June 2024

Official Site API Docs 🤗 Hugging Face 📄 Research Paper

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

8192 tokens

Modalities

text

Parameters

License

Apache-2.0

Capabilities

Multilingual SupportCode GenerationReasoningLong Context UnderstandingFunction CallingJSON Mode

Best For

Cost-effective, open-source LLM for multilingual applications, coding assistance, and tasks requiring long context understanding.

Strengths

Strong multilingual performance, especially in Chinese and English
128K token context window for handling long documents
Competitive coding and reasoning benchmarks for its size
Open-source with Apache 2.0 license, enabling customization

Limitations

Smaller parameter count may limit complex reasoning compared to larger models
Not a frontier model; may lag behind top-tier LLMs in some benchmarks
Limited multimodal capabilities (text-only)

Use Cases

Chatbots and virtual assistants

Code generation and debugging

Document summarization and analysis

Multilingual translation and localization

Educational tutoring and Q&A

Content creation and copywriting

Data extraction and parsing

Improvements Over Previous Model

Context window increased from 32K (Qwen1.5 7B) to 128K tokens
Improved multilingual support with better performance on non-English languages
Enhanced coding capabilities with higher HumanEval scores
Adopted Apache 2.0 license for more permissive open-source use
Better instruction following and safety alignment

Back to all models