YandexGPT-5-Lite-8B-instruct-GGUF
| Property | Value |
|---|---|
| Author | Yandex |
| Model Size | 8B parameters |
| Format | GGUF (Quantized) |
| Model Hub | Hugging Face |
What is YandexGPT-5-Lite-8B-instruct-GGUF?
YandexGPT-5-Lite-8B-instruct-GGUF is a quantized version of Yandex's 8B parameter language model, specifically optimized for efficient deployment using the GGUF format. This model represents a significant advancement in making large language models more accessible and deployable on consumer hardware while maintaining performance close to the original model.
Implementation Details
The model implements a unique dialogue template system where it generates single responses following the "Assistant:[SEP]" sequence, terminating with a "" token. It can be deployed using either llama.cpp or Ollama frameworks, with support for both interactive and server modes.
- Supports context window of 32,768 tokens
- Compatible with multi-threading for improved inference speed
- Optimized Q4_K_M quantization for efficiency
- Custom dialogue template implementation
Core Capabilities
- Interactive dialogue generation
- Server-mode deployment for API access
- Efficient resource utilization through quantization
- Support for extended dialogue history
Frequently Asked Questions
Q: What makes this model unique?
The model's distinctive feature is its specialized dialogue template system and optimization for GGUF format, allowing efficient deployment while maintaining quality close to the original model.
Q: What are the recommended use cases?
While the model supports both interactive and server modes, it's recommended to use server mode for production applications. Interactive mode is suggested primarily for model exploration and testing purposes.
