Lora Model by NoOrdinaryJoy

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  4bit   Autotrain compatible Base model:finetune:unsloth/ll... Base model:unsloth/llama-3-8b-...   En   Endpoints compatible   Llama   Lora   Pytorch   Quantized   Region:us   Safetensors   Sharded   Trl   Unsloth

Lora Model Benchmarks

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

Lora Model Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth
Supported Languages 
en (native)
LLM NameLora Model
Repository ๐Ÿค—https://huggingface.co/NoOrdinaryJoy/lora_model 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerNoOrdinaryJoy
Model Files  0.2 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Quantization Type4bit
Model ArchitectureAutoModelForCausalLM
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|o_proj|gate_proj|q_proj|v_proj|up_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 NoOrdinaryJoy/lora_model.

Rank the Lora Model 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  
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 v20241227