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Phi 3 Small 128K Instruct by aaronday3

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  Autotrain compatible   Code   Conversational   Custom code   Instruct   Multilingual   Phi3small   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aaronday3/Phi-3-small-128k-instruct 

Phi 3 Small 128K Instruct Benchmarks

LLME Score: 0.18677
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 128K Instruct (aaronday3/Phi-3-small-128k-instruct)

Phi 3 Small 128K Instruct Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
General purpose AI applications
Primary Use Cases:
Memory/compute constrained environments, Latency-bound scenarios, Strong reasoning requirements (especially code, math, and logic)
Limitations:
Not designed for all downstream purposes, Limitations in non-English languages, Potential to reinforce stereotypes
Considerations:
Developers should ensure compliance with relevant laws and assess limitations.
Additional Notes 
Refer to Microsoft’s Trademark & Brand Guidelines for use of trademarks or logos. Adherence to local laws and regulations is required for legal and ethical deployment.
Supported Languages 
languages (Multilingual), proficiency ()
Training Details 
Data Sources:
Publicly available documents filtered for quality, High-quality educational data, Synthetic 'textbook-like' data
Data Volume:
4.8 trillion tokens
Methodology:
Supervised fine-tuning and Direct Preference Optimization
Context Length:
128000
Training Time:
18 days
Hardware Used:
1024 H100-80G GPUs
Model Architecture:
Dense decoder-only Transformer
Responsible Ai Considerations 
Fairness:
Quality of Service issues, representation of harms & perpetuation of stereotypes, inappropriate or offensive content generation.
Transparency:
Not specified
Accountability:
Not specified
Mitigation Strategies:
Developers should apply responsible AI best practices and undertake further assessments and adjustments for use case suitability.
Input Output 
Input Format:
Chat format using markdown templates
Accepted Modalities:
text
Output Format:
Generated text
Performance Tips:
Ensure proper use of BOS token for reliable results. Use in combination with applicable safety classifiers.
LLM NamePhi 3 Small 128K Instruct
Repository 🤗https://huggingface.co/aaronday3/Phi-3-small-128k-instruct 
Model Size7.4b
Required VRAM14.8 GB
Updated2025-02-22
Maintaineraaronday3
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
Model ArchitecturePhi3SmallForCausalLM
Licensemit
Context Length131072
Model Max Length131072
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 aaronday3/Phi-3-small-128k-instruct.

Rank the Phi 3 Small 128K Instruct 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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Release v20241227
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