EVA-Qwen2.5-72B-v0.0-GGUF
| Property | Value |
|---|---|
| Parameter Count | 72.7B |
| License | Qwen License |
| Author | bartowski |
| Base Model | EVA-UNIT-01/EVA-Qwen2.5-72B-v0.0 |
What is EVA-Qwen2.5-72B-v0.0-GGUF?
EVA-Qwen2.5-72B-v0.0-GGUF is a comprehensive collection of quantized versions of the EVA-Qwen2.5-72B model, optimized for different hardware configurations and use cases. This model stands out for its training on 9 carefully selected datasets, focusing on instruction-following, creative writing, and conversational abilities.
Implementation Details
The model offers multiple quantization options ranging from 77.26GB (Q8_0) to 23.74GB (IQ1_M), each optimized using llama.cpp's imatrix quantization. The implementation supports various formats including K-quants and I-quants, with specific optimizations for different hardware architectures.
- Supports multiple quantization levels (Q8_0 to IQ1_M)
- Uses advanced imatrix quantization techniques
- Implemented with llama.cpp compatibility
- Offers split file options for larger variants
Core Capabilities
- High-quality text generation and conversation
- Creative writing and structured content generation
- Instruction following with no-refusal capability
- Flexible deployment options for various hardware configurations
Frequently Asked Questions
Q: What makes this model unique?
The model's uniqueness lies in its extensive quantization options and optimization for different hardware setups, while maintaining high-quality performance through carefully selected training datasets.
Q: What are the recommended use cases?
The model is ideal for conversational AI, creative writing, and general text generation tasks. For optimal performance, it's recommended to use Q6_K or Q5_K_M variants for high-quality results, while Q4_K_M offers a good balance of quality and resource usage.
