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Lora Model by huggingfacepremium

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  4bit Base model:finetune:unsloth/ph... Base model:unsloth/phi-3-mini-...   En   Endpoints compatible   Instruct   Lora   Mistral   Quantized   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/huggingfacepremium/lora_model 

Lora Model Benchmarks

LLME Score: 0.17752
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Lora Model (huggingfacepremium/lora_model)
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Lora Model Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
LLM NameLora Model
Repository 🤗https://huggingface.co/huggingfacepremium/lora_model 
Base Model(s)  unsloth/phi-3-mini-4k-instruct-bnb-4bit   unsloth/phi-3-mini-4k-instruct-bnb-4bit
Required VRAM0.1 GB
Updated2024-07-30
Maintainerhuggingfacepremium
Instruction-BasedYes
Model Files  0.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length4096
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|up_proj|v_proj|down_proj|o_proj|gate_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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

Rank the Lora Model Capabilities

🆘 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! 🌟

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 v20241124
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