Phi-3-mini-128k-instruct-ft-v2
| Property | Value |
|---|---|
| Developer | NeuralTofu |
| Model Type | Instruction-tuned Language Model |
| Context Length | 128k tokens |
| Hugging Face | Model Repository |
What is Phi-3-mini-128k-instruct-ft-v2?
Phi-3-mini-128k-instruct-ft-v2 is a specialized version of the Phi-3 architecture that has been fine-tuned for instruction following with an extended context length of 128,000 tokens. This model represents an advancement in the Phi model series, focusing on efficient processing of longer text sequences while maintaining high-quality instruction following capabilities.
Implementation Details
The model builds upon the Phi-3 architecture and incorporates specific optimizations for handling extended context lengths. It has been fine-tuned using instruction-based datasets to enhance its ability to follow complex directives and generate appropriate responses.
- Extended context length support up to 128k tokens
- Specialized instruction fine-tuning
- Built on the Phi-3 architecture
- Optimized for practical applications requiring longer context processing
Core Capabilities
- Long-form text processing and generation
- Improved instruction following
- Extended context understanding
- Enhanced response coherence across longer sequences
Frequently Asked Questions
Q: What makes this model unique?
This model stands out due to its significantly extended context length of 128k tokens and specialized instruction fine-tuning, making it particularly suitable for applications requiring processing of longer text sequences while maintaining high-quality instruction following capabilities.
Q: What are the recommended use cases?
The model is well-suited for tasks requiring extended context processing such as long-form document analysis, complex instruction following, and applications where maintaining context over longer sequences is crucial.
