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Phi 3 Mini 4K Instruct Ita Orpo V2 by diegobit

 »  All LLMs  »  diegobit  »  Phi 3 Mini 4K Instruct Ita Orpo V2   URL Share it on

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  4-bit   Autotrain compatible   Bitsandbytes   Conversational Dataset:efederici/alpaca-vs-al...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Unsloth
Model Card on HF 🤗: https://huggingface.co/diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2 

Phi 3 Mini 4K Instruct Ita Orpo V2 Benchmarks

LLME Score: 0.20312
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 4K Instruct Ita Orpo V2 (diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2)

Phi 3 Mini 4K Instruct Ita Orpo V2 Parameters and Internals

Supported Languages 
italian (NLP primary language)
Training Details 
Data Sources:
efederici/alpaca-vs-alpaca-orpo-dpo
Training Time:
7h on an A100-40GB
Hardware Used:
A100-40GB
LLM NamePhi 3 Mini 4K Instruct Ita Orpo V2
Repository 🤗https://huggingface.co/diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2 
Model Size2.1b
Required VRAM2.3 GB
Updated2024-12-22
Maintainerdiegobit
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than diegobit/Phi-3-mini-4k-instruct-ita-orpo-v2.

Rank the Phi 3 Mini 4K Instruct Ita Orpo V2 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 v20241217
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