calme-2.8-qwen2-7b
| Property | Value |
|---|---|
| Base Model | Qwen2-7B |
| Author | MaziyarPanahi |
| Hugging Face | Link |
| Average Benchmark Score | 19.22 |
What is calme-2.8-qwen2-7b?
calme-2.8-qwen2-7b is a fine-tuned version of the Qwen2-7B language model, specifically optimized to enhance performance across multiple benchmarks. This model implements the ChatML prompt template and offers GGUF quantization options for improved efficiency.
Implementation Details
The model utilizes a sophisticated architecture based on Qwen2-7B, with notable performance in various evaluation metrics. It supports integration through both high-level pipelines and direct model loading using the Transformers library.
- ChatML prompt template support with system, user, and assistant roles
- Available in GGUF quantized versions for efficient deployment
- Compatible with Hugging Face's Transformers library
- Comprehensive benchmark evaluation results
Core Capabilities
- Strong performance in IFEval (0-Shot): 27.75
- Impressive MMLU-PRO (5-shot) results: 28.51
- Solid BBH (3-Shot) performance: 25.53
- Mathematical reasoning capabilities (MATH Lvl 5): 15.63
- General question-answering and multiple-shot learning support
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its optimized performance across multiple benchmarks and its implementation of the ChatML template, making it particularly suitable for chat-based applications while maintaining strong performance in various tasks.
Q: What are the recommended use cases?
The model is well-suited for chat applications, zero-shot and few-shot learning tasks, and general language understanding applications. Its strong performance in IFEval and MMLU-PRO makes it particularly effective for inference and professional-level tasks.
