Frigg-v1.35-8b-HIGH-FANTASY-1024k-i1-GGUF
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Model Type | GGUF Quantized |
| Architecture | Transformer-based |
| Context Length | 1024k tokens |
What is Frigg-v1.35-8b-HIGH-FANTASY-1024k-i1-GGUF?
This is a specialized quantized version of the Frigg high fantasy language model, offering various compression options through imatrix quantization. The model represents a significant advancement in making large language models more accessible for consumer hardware while maintaining quality output for fantasy-related content.
Implementation Details
The model comes in multiple quantization variants, ranging from 2.1GB to 6.7GB, each offering different trade-offs between size and quality. It uses advanced imatrix quantization techniques to maintain model performance while significantly reducing size requirements.
- Multiple quantization options (IQ1_S through Q6_K)
- Context window of 1024k tokens
- Optimized for both ARM and x86 architectures
- Includes specialized variants for different hardware capabilities
Core Capabilities
- High-fantasy content generation
- Flexible deployment options across different hardware configurations
- Optimized performance with various quantization levels
- Extended context handling capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its specialized focus on high-fantasy content while offering multiple quantization options that make it accessible across different hardware configurations. The imatrix quantization technique provides superior quality compared to traditional quantization methods.
Q: What are the recommended use cases?
For optimal performance, the Q4_K_M variant (5.0GB) is recommended as it provides the best balance of speed and quality. For systems with limited resources, the IQ2_M variant (3.0GB) offers a good compromise.
