Dre Phi by empgces

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  4bit   Autotrain compatible Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   Conversational   En   Endpoints compatible   Instruct   Lora   Mistral   Pytorch   Quantized   Region:us   Safetensors   Sft   Sharded   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/empgces/dre_phi 

Dre Phi Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Dre Phi Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, mistral, trl, sft
Additional Notes 
This mistral model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameDre Phi
Repository ๐Ÿค—https://huggingface.co/empgces/dre_phi 
Base Model(s)  ...hi 3 Mini 4K Instruct Bnb 4bit   unsloth/Phi-3-mini-4k-instruct-bnb-4bit
Required VRAM7.6โ€ฏGB
Updated2025-01-04
Maintainerempgces
Instruction-BasedYes
Model Files  0.1 GB   5.0 GB: 1-of-2   2.6 GB: 2-of-2
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesup_proj|v_proj|q_proj|gate_proj|down_proj|o_proj|k_proj
LoRA Alpha32
LoRA Dropout0
R Param32

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Note: green Score (e.g. "73.2") means that the model is better than empgces/dre_phi.

Rank the Dre Phi Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

Instruction Following and Task Automation  
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Factuality and Completeness of Knowledge  
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Censorship and Alignment  
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Data Analysis and Insight Generation  
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Text Generation  
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Text Summarization and Feature Extraction  
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Code Generation  
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Multi-Language Support and Translation  
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Our Social Media โ†’  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227