calme-2.1-qwen2-7b
| Property | Value |
|---|---|
| Base Model | Qwen2-7B |
| Author | MaziyarPanahi |
| Hugging Face | Model Repository |
| Average Benchmark Score | 23.20 |
What is calme-2.1-qwen2-7b?
calme-2.1-qwen2-7b is a fine-tuned version of the Qwen2-7B language model, specifically optimized to enhance performance across multiple benchmarks. The model implements the ChatML prompt template format and offers both standard and quantized GGUF versions for flexible deployment options.
Implementation Details
The model utilizes a sophisticated architecture based on the Qwen2-7B foundation, incorporating specific optimizations that have resulted in notable performance improvements across various evaluation metrics. It employs the ChatML prompt template for structured interactions, making it particularly suitable for conversational AI applications.
- Supports both standard and GGUF quantized versions
- Implements ChatML prompt format for consistent interaction
- Easy integration with Hugging Face's transformers library
- Comprehensive benchmark evaluation results
Core Capabilities
- IFEval (0-Shot): 38.16% accuracy
- BBH (3-Shot): 31.01% performance
- MATH Level 5 (4-Shot): 21.07% accuracy
- GPQA (0-shot): 5.26% score
- MMLU-PRO (5-shot): 29.92% accuracy
Frequently Asked Questions
Q: What makes this model unique?
This model stands out through its optimized fine-tuning of the Qwen2-7B base model, achieving balanced performance across multiple benchmarks. Its implementation of the ChatML prompt template and availability in both standard and quantized formats makes it versatile for different deployment scenarios.
Q: What are the recommended use cases?
The model is well-suited for various natural language processing tasks, particularly those requiring multi-shot learning capabilities. Its strong performance in benchmarks like IFEval and BBH makes it appropriate for complex reasoning tasks and general language understanding applications.
