Activefrontierllm Open Source

Qwen2.5 72B

by Alibaba· Released September 2024· Cutoff June 2024

Qwen2.5 72B is a large language model from Alibaba's Qwen series, featuring 72 billion parameters and a 128K token context window. It excels in coding, mathematics, and multilingual tasks, 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

72B

License

Apache-2.0

Capabilities

Function CallingCode GenerationStreamingJSON ModeMultilingual SupportLong Context Understanding

Best For

Complex reasoning, coding, and multilingual tasks requiring a large context window.

Strengths

Strong performance on coding and math benchmarks
128K token context window
Multilingual support including English, Chinese, and more
Open-source with Apache 2.0 license

Limitations

Large model size requires significant computational resources
Not multimodal (text-only)
May have higher latency compared to smaller models
Knowledge cutoff may not include very recent events

Use Cases

Code generation and debugging

Mathematical problem solving

Long document analysis and summarization

Multilingual translation and content creation

Chatbots and virtual assistants

Data extraction and structured output generation

Improvements Over Previous Model

Context window increased from 32K to 128K tokens compared to Qwen2 72B
Improved coding benchmark scores (HumanEval 92% vs 85%)
Enhanced multilingual capabilities with support for 29 languages
Better instruction following and reduced hallucination
Optimized inference speed with ~2× lower latency than predecessor

Back to all models

Activefrontierllm Open Source

Qwen2.5 72B

by Alibaba· Released September 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

72B

License

Apache-2.0

Capabilities

Function CallingCode GenerationStreamingJSON ModeMultilingual SupportLong Context Understanding

Best For

Complex reasoning, coding, and multilingual tasks requiring a large context window.

Strengths

Strong performance on coding and math benchmarks
128K token context window
Multilingual support including English, Chinese, and more
Open-source with Apache 2.0 license

Limitations

Large model size requires significant computational resources
Not multimodal (text-only)
May have higher latency compared to smaller models
Knowledge cutoff may not include very recent events

Use Cases

Code generation and debugging

Mathematical problem solving

Long document analysis and summarization

Multilingual translation and content creation

Chatbots and virtual assistants

Data extraction and structured output generation

Improvements Over Previous Model

Context window increased from 32K to 128K tokens compared to Qwen2 72B
Improved coding benchmark scores (HumanEval 92% vs 85%)
Enhanced multilingual capabilities with support for 29 languages
Better instruction following and reduced hallucination
Optimized inference speed with ~2× lower latency than predecessor

Back to all models