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 (NickyNicky/Phi-3-mini-4k-instruct_orpo_V2)

Phi 3 Mini 4K Instruct Orpo V2 Parameters and Internals

Additional Notes 
Metrics and training details provided. Model trained up to 4096 max sequence length.
Supported Languages 
en (proficient), es (proficient)
Training Details 
Data Sources:
NickyNicky/oasst2_orpo_mix_tokenizer_phi_3_v1
Context Length:
4096
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
Updated2025-02-05
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

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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.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227