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Phi 3 Mini Code Finetune 128K Instruct V1 by RDson

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Model Card on HF 🤗: https://huggingface.co/RDson/Phi-3-mini-code-finetune-128k-instruct-v1 

Phi 3 Mini Code Finetune 128K Instruct V1 Benchmarks

LLME Score: 0.15571
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Mini Code Finetune 128K Instruct V1 (RDson/Phi-3-mini-code-finetune-128k-instruct-v1)
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Phi 3 Mini Code Finetune 128K Instruct V1 Parameters and Internals

Additional Notes 
Due to limited resources and time, the training was partial.
Training Details 
Data Sources:
m-a-p/CodeFeedback-Filtered-Instruction
Methodology:
Finetuning on CodeFeedback-Filtered-Instruction for ~9-10hrs using a single 3090 24GB GPU. Training was only on half (0.5136) of the epoch.
Hardware Used:
single 3090 24GB
LLM NamePhi 3 Mini Code Finetune 128K Instruct V1
Repository 🤗https://huggingface.co/RDson/Phi-3-mini-code-finetune-128k-instruct-v1 
Model Size3.8b
Required VRAM15.4 GB
Updated2025-08-18
MaintainerRDson
Model Typephi3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   0.4 GB: 4-of-4
Model ArchitecturePhi3ForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32040
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than RDson/Phi-3-mini-code-finetune-128k-instruct-v1.

Rank the Phi 3 Mini Code Finetune 128K Instruct V1 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 v20241124
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