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RYS Phi 3 Medium 4K Instruct by dnhkng

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  Custom code   Instruct   Model-index   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/dnhkng/RYS-Phi-3-medium-4k-instruct 

RYS Phi 3 Medium 4K Instruct Benchmarks

MMLU Pro: 42.74
GPQA: 13.98
MUSR: 11.09
BBH: 46.75
IFEval: 43.91 vs 88 (so35)-50.1%
MATH Lvl 5: 16.09
LLME Score: 0.32119
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RYS Phi 3 Medium 4K Instruct (dnhkng/RYS-Phi-3-medium-4k-instruct)

RYS Phi 3 Medium 4K Instruct Parameters and Internals

Model Type 
text-generation
Additional Notes 
This is a new kind of model optimization. A paper on the technique is currently being written. This research was supported with hardware from the appliedAI Institute, whose goal is to generate and communicate high-quality knowledge about trustworthy AI.
LLM NameRYS Phi 3 Medium 4K Instruct
Repository 🤗https://huggingface.co/dnhkng/RYS-Phi-3-medium-4k-instruct 
Model Size17.7b
Required VRAM35.6 GB
Updated2025-02-22
Maintainerdnhkng
Model Typephi3
Instruction-BasedYes
Model Files  4.8 GB: 1-of-8   4.8 GB: 2-of-8   4.8 GB: 3-of-8   4.8 GB: 4-of-8   4.8 GB: 5-of-8   4.8 GB: 6-of-8   4.8 GB: 7-of-8   2.0 GB: 8-of-8
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

Rank the RYS Phi 3 Medium 4K 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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