Llama-3.2-8B-GGUF-200K
| Property | Value |
|---|---|
| Parameter Count | 8.03B |
| Base Model | unsloth/meta-llama-3.1-8b-bnb-4bit |
| License | creativeml-openrail-m |
| Training Data | HuggingFaceH4/ultrachat_200k |
What is Llama-3.2-8B-GGUF-200K?
Llama-3.2-8B-GGUF-200K is an advanced language model developed by prithivMLmods, built upon the Meta's LLaMA architecture and optimized for deployment through Ollama. This model represents a significant advancement in accessible AI, combining the power of an 8B parameter architecture with GGUF format optimization for efficient inference.
Implementation Details
The model is implemented using the GGUF format, which enables efficient deployment and operation through Ollama. It's been fine-tuned on the UltraChat-200K dataset, incorporating advanced transformer architecture techniques for improved performance.
- Optimized GGUF format for efficient deployment
- Built on unsloth/meta-llama-3.1-8b-bnb-4bit base model
- Integrated with Ollama for easy deployment and usage
- Fine-tuned on comprehensive UltraChat-200K dataset
Core Capabilities
- Advanced text generation and completion
- Efficient inference through Ollama integration
- Optimized performance with GGUF format
- Support for complex language understanding tasks
- Easy deployment and integration capabilities
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its optimization for the GGUF format and seamless integration with Ollama, making it highly accessible while maintaining the powerful capabilities of the LLaMA architecture. The fine-tuning on UltraChat-200K dataset enhances its conversational abilities.
Q: What are the recommended use cases?
The model is particularly well-suited for text generation tasks, conversational AI applications, and scenarios requiring efficient deployment through Ollama. It's ideal for developers looking to implement powerful language models with minimal computational overhead.
