Qwen-1.8B|7B|14B|72B

Overview

A collection of open-source large language models ranging from 1.8B to 72B parameters, hosted on Hugging Face. Users can download and run inference locally or via API, selecting model size based on compute constraints and performance needs.

Best for

Best for
Developers seeking scalable open-source LLMs for diverse deployment environments

Use cases

• Deploying a lightweight 1.8B model for real-time chat on edge devices
• Running the 72B model for complex reasoning and code generation tasks
• Fine-tuning one of the model sizes on domain-specific data for custom applications

Notes

A collection of open-source large language models ranging from 1.8B to 72B parameters, hosted on Hugging Face. Users can download and run inference locally or via API, selecting model size based on compute constraints and performance needs.

Use cases

• Deploying a lightweight 1.8B model for real-time chat on edge devices
• Running the 72B model for complex reasoning and code generation tasks
• Fine-tuning one of the model sizes on domain-specific data for custom applications

Pros

• Wide range of sizes allows matching model capacity to resource limits
• Open-source and freely available for self-hosting or modification
• Good performance for cost compared to many proprietary alternatives

Cons

• Community-maintained project may lack official support or documentation
• Smaller models (1.8B, 7B) have limited capability for nuanced tasks
• Requires significant GPU memory for the 72B variant

Indexed from awesome-llm and enriched against its public facts.