Phi 3 Mini 4K Instruct Orpo V2 by NickyNicky

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  Autotrain compatible   Conversational Dataset:nickynicky/oasst2 orpo...   En   Endpoints compatible   Es   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow

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

LLM NamePhi 3 Mini 4K Instruct Orpo V2
Repository ๐Ÿค—https://huggingface.co/NickyNicky/Phi-3-mini-4k-instruct_orpo_V2 
Model Size3.8b
Required VRAM14.9 GB
Updated2024-09-07
MaintainerNickyNicky
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.9 GB: 3-of-3
Supported Languagesen es
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.40.1
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16
Phi 3 Mini 4K Instruct Orpo V2 (NickyNicky/Phi-3-mini-4k-instruct_orpo_V2)

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Note: green Score (e.g. "73.2") means that the model is better than NickyNicky/Phi-3-mini-4k-instruct_orpo_V2.

Rank the Phi 3 Mini 4K Instruct 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803