Phi 3 Small 8K Instruct Handler is an open-source language model by lucafirefox. Features: 7.4b LLM, VRAM: 14.8GB, Context: 8K, License: mit, Instruction-Based, LLM Explorer Score: 0.13.
Phi 3 Small 8K Instruct Handler Parameters and Internals
Model Type
Use Cases
Areas: Research, Commercial applications
Applications:
Primary Use Cases: Memory/compute constrained environments, Latency bound scenarios, Strong reasoning (especially code, math and logic)
Limitations: Not specifically designed or evaluated for all downstream purposes
Considerations: Developers should evaluate and mitigate for accuracy, safety, and fairness before specific use.
Supported Languages multilingual (English), proficiency (primarily English)
Training Details
Data Sources: Publicly available documents filtered for quality, Selected high-quality educational data, Newly created synthetic, 'textbook-like' data
Data Volume:
Methodology: Supervised fine-tuning (SFT) and Direct Preference Optimization (DPO)
Context Length:
Training Time:
Hardware Used:
Model Architecture: Dense decoder-only Transformer model with alternating dense and blocksparse attentions
Responsible Ai Considerations
Fairness: Models can potentially behave in ways that are unfair, unreliable, offensive, or promote stereotypes.
Accountability: Developers should apply responsible AI best practices.
Mitigation Strategies: Developers should assess outputs for context and use appropriate safety classifiers.
Input Output
Input Format: Chat format with user and assistant roles
Accepted Modalities:
Output Format:
Performance Tips: Include a BOS token at the start of the conversation for reliable results.
Rank the Phi 3 Small 8K Instruct Handler capabilities
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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation
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