Phi 3 Mini 16bit by CampAIgn

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational Dataset:campaign/ddd french ve... Dataset:campaign/steam games i...   En   Endpoints compatible   Fr   Instruct   Mistral   Phi3   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth

Phi 3 Mini 16bit Benchmarks

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 16bit (CampAIgn/Phi-3-mini_16bit)

Phi 3 Mini 16bit Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, phi3, NLP
Supported Languages 
language (en), proficiency (unknown)
Training Details 
Data Sources:
CampAIgn/DDD_French_version, CampAIgn/Steam_games_in_french
Methodology:
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NamePhi 3 Mini 16bit
Repository ๐Ÿค—https://huggingface.co/CampAIgn/Phi-3-mini_16bit 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM7.6 GB
Updated2025-02-17
MaintainerCampAIgn
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen fr
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.2
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than CampAIgn/Phi-3-mini_16bit.

Rank the Phi 3 Mini 16bit 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