EXAONE-3.0-7.8B-Instruct-converted
| Property | Value |
|---|---|
| Parameter Count | 7.82B |
| Model Type | LLaMA-based Instruction Model |
| Tensor Type | F32 |
| Downloads | 33,864 |
| Paper | Research Paper |
What is EXAONE-3.0-7.8B-Instruct-converted?
EXAONE-3.0-7.8B-Instruct-converted is an advanced language model developed by Furiosa AI, built on the LLaMA architecture. This model represents a significant achievement in conversational AI, featuring 7.82 billion parameters and optimized for instruction-following and text generation tasks.
Implementation Details
The model utilizes F32 tensor architecture and is implemented using the Transformers library. It's specifically designed for text-generation-inference tasks and includes optimizations for conversational interactions.
- Built on LLaMA architecture
- Optimized for instruction-following
- Supports text generation inference
- Uses F32 precision for computations
Core Capabilities
- High-quality text generation
- Conversational AI applications
- Instruction-following tasks
- Inference endpoint compatibility
Frequently Asked Questions
Q: What makes this model unique?
This model combines the robust LLaMA architecture with specialized optimizations for instruction-following tasks, making it particularly effective for conversational AI applications while maintaining F32 precision for high-quality outputs.
Q: What are the recommended use cases?
The model is best suited for text generation tasks, conversational AI applications, and scenarios requiring instruction-following capabilities. It's particularly effective when deployed through text-generation-inference endpoints.
