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Llama 3 8B Finetuned by fay-ong

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  4-bit   4bit   Adapter Base model:adapter:unsloth/lla... Base model:unsloth/llama-3-8b-...   Bitsandbytes   Finetuned   Generated from trainer   Instruct   Llama   Llama-factory   Lora   Peft   Quantized   Region:us   Safetensors   Tensorboard   Unsloth
Model Card on HF 🤗: https://huggingface.co/fay-ong/llama-3-8b-finetuned 

Llama 3 8B Finetuned Benchmarks

LLME Score: 0.15488
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Finetuned (fay-ong/llama-3-8b-finetuned)
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Llama 3 8B Finetuned Parameters and Internals

Model Type 
text generation
Training Details 
Data Sources:
formatted_data dataset
LLM NameLlama 3 8B Finetuned
Repository 🤗https://huggingface.co/fay-ong/llama-3-8b-finetuned 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM0.1 GB
Updated2025-09-23
Maintainerfay-ong
Instruction-BasedYes
Model Files  0.1 GB   0.0 GB
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|o_proj|gate_proj|q_proj|k_proj|up_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than fay-ong/llama-3-8b-finetuned.

Rank the Llama 3 8B Finetuned 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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