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Phi 3 Small 8K Instruct Handler by lucafirefox

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  Autotrain compatible   Code   Conversational   Custom code   Endpoints compatible   Ext 8k   Instruct   Multilingual   Phi3small   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/lucafirefox/Phi-3-small-8k-instruct_handler 

Phi 3 Small 8K Instruct Handler Benchmarks

LLME Score: 0.18917
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Small 8K Instruct Handler (lucafirefox/Phi-3-small-8k-instruct_handler)

Phi 3 Small 8K Instruct Handler Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
Research, Commercial applications
Applications:
General AI systems
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:
4.8T tokens
Methodology:
Supervised fine-tuning (SFT) and Direct Preference Optimization (DPO)
Context Length:
8000
Training Time:
18 days
Hardware Used:
1024 H100-80G GPUs
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:
text
Output Format:
Generated text
Performance Tips:
Include a BOS token at the start of the conversation for reliable results.
LLM NamePhi 3 Small 8K Instruct Handler
Repository 🤗https://huggingface.co/lucafirefox/Phi-3-small-8k-instruct_handler 
Model Size7.4b
Required VRAM14.8 GB
Updated2025-02-22
Maintainerlucafirefox
Model Typephi3small
Instruction-BasedYes
Model Files  4.8 GB: 1-of-4   4.8 GB: 2-of-4   4.8 GB: 3-of-4   0.4 GB: 4-of-4
Context Length8k
Model ArchitecturePhi3SmallForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.38.1
Tokenizer ClassPhi3SmallTokenizer
Padding Token<|endoftext|>
Vocabulary Size100352
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lucafirefox/Phi-3-small-8k-instruct_handler.

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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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