calme-2.3-qwen2-7b
| Property | Value |
|---|---|
| Base Model | Qwen2-7B |
| Author | MaziyarPanahi |
| Parameter Count | 7 Billion |
| Model Format | ChatML |
| Hugging Face URL | MaziyarPanahi/calme-2.3-qwen2-7b |
What is calme-2.3-qwen2-7b?
calme-2.3-qwen2-7b is a fine-tuned version of the Qwen2-7B language model, designed to enhance performance across multiple benchmarks. The model implements the ChatML prompt template and offers both standard and quantized GGUF versions for flexible deployment options.
Implementation Details
The model utilizes a sophisticated fine-tuning approach to improve upon the base Qwen2-7B architecture. It achieves notable benchmark scores, including 38.25 on IFEval (0-Shot) and 30.96 on BBH (3-Shot), with an overall average performance of 22.74 across various metrics.
- Supports both standard and GGUF quantized versions
- Implements ChatML prompt template for structured interactions
- Compatible with Hugging Face's transformers library
- Offers straightforward integration through pipeline API
Core Capabilities
- Strong performance on inference tasks (IFEval: 38.25)
- Capable of complex reasoning (BBH: 30.96)
- Mathematical problem-solving abilities (MATH Lvl 5: 18.66)
- Professional knowledge assessment (MMLU-PRO: 29.01)
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its balanced performance across different benchmarks and its implementation of the ChatML format, making it particularly suitable for conversational AI applications. The availability of GGUF quantized versions also makes it more accessible for deployment on different hardware configurations.
Q: What are the recommended use cases?
The model is well-suited for tasks requiring inference, reasoning, and professional knowledge application. Its performance on benchmarks suggests it can be effectively used for educational applications, professional analysis, and general-purpose conversational AI tasks.
