Refined Llama3 by Gab-Chung

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Refined Llama3 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Refined Llama3 (Gab-Chung/Refined-Llama3)

Refined Llama3 Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (native)
LLM NameRefined Llama3
Repository ๐Ÿค—https://huggingface.co/Gab-Chung/Refined-Llama3 
Base Model(s)  Llama 2 7B Bnb 4bit   unsloth/llama-2-7b-bnb-4bit
Model Size7b
Required VRAM0.2 GB
Updated2024-12-22
MaintainerGab-Chung
Model Files  0.2 GB
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 Modulesk_proj|v_proj|q_proj|o_proj|down_proj|gate_proj|up_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 Gab-Chung/Refined-Llama3.

Rank the Refined Llama3 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 v20241217