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Phi 3 Medium 128K Code Instruct by REILX

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Model Card on HF 🤗: https://huggingface.co/REILX/Phi-3-medium-128k-code-instruct 

Phi 3 Medium 128K Code Instruct Benchmarks

LLME Score: 0.18821
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Medium 128K Code Instruct (REILX/Phi-3-medium-128k-code-instruct)

Phi 3 Medium 128K Code Instruct Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (fluent)
Training Details 
Data Sources:
Replete-AI/code_bagel
Training Time:
69h18m17s
Input Output 
Input Format:
model input as user and assistant role dialogues
Accepted Modalities:
text
Output Format:
Generated text responses
LLM NamePhi 3 Medium 128K Code Instruct
Repository 🤗https://huggingface.co/REILX/Phi-3-medium-128k-code-instruct 
Required VRAM0.1 GB
Updated2025-02-22
MaintainerREILX
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Model ArchitectureAdapter
Licensemit
Model Max Length131072
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesqkv_proj|o_proj|down_proj|gate_up_proj
LoRA Alpha16
LoRA Dropout0
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than REILX/Phi-3-medium-128k-code-instruct.

Rank the Phi 3 Medium 128K Code Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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