h2ogpt-4096-llama2-13b-chat
| Property | Value |
|---|---|
| Parameter Count | 13B |
| Model Type | LLaMA 2 |
| License | LLaMA 2 |
| Context Window | 4096 tokens |
| Tensor Types | F32, FP16 |
What is h2ogpt-4096-llama2-13b-chat?
h2ogpt-4096-llama2-13b-chat is H2O.ai's implementation of Meta's LLaMA 2 13B chat model, specifically optimized for enhanced conversational AI capabilities. This model represents a significant advancement in large language models, featuring a 4096-token context window and comprehensive architecture based on the LLaMA framework.
Implementation Details
The model is built on a sophisticated architecture featuring 40 LlamaDecoderLayers, each containing self-attention mechanisms and MLPs. It utilizes a 5120-dimensional embedding space and implements rotary positional embeddings for enhanced sequential understanding. The model processes information through multiple attention heads and uses RMSNorm for normalization.
- Embedding dimension: 5120
- Vocabulary size: 32000 tokens
- Advanced attention mechanism with rotary embeddings
- Optimized MLP structure with SiLU activation
Core Capabilities
- High-quality text generation and completion
- Enhanced conversational abilities
- Support for both F32 and FP16 precision
- Efficient processing of long-form content up to 4096 tokens
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its optimization by H2O.ai, offering improved performance while maintaining the robust capabilities of the original LLaMA 2 architecture. It's specifically tuned for chat applications and can be experienced through H2O.ai's demo platform.
Q: What are the recommended use cases?
The model excels in conversational AI applications, text generation tasks, and can be particularly effective for applications requiring understanding of longer context windows. It's ideal for chatbots, content generation, and interactive AI systems.
