Llama 3 Math Finetuned 100 by hjskhan

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Llama 3 Math Finetuned 100 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Math Finetuned 100 (hjskhan/llama-3-math-finetuned-100)

Llama 3 Math Finetuned 100 Parameters and Internals

Model Type 
text-generation
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
Supported Languages 
en (Fluent)
Training Details 
Methodology:
Finetuned with TRL
Model Architecture:
llama
LLM NameLlama 3 Math Finetuned 100
Repository ๐Ÿค—https://huggingface.co/hjskhan/llama-3-math-finetuned-100 
Base Model(s)  Llama 3 8B Bnb 4bit   unsloth/llama-3-8b-bnb-4bit
Model Size8b
Required VRAM5.8 GB
Updated2025-03-13
Maintainerhjskhan
Model Files  0.2 GB   0.4 GB   4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
GGUF QuantizationYes
Quantization Type4bit|gguf
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|q_proj|v_proj|gate_proj|down_proj|up_proj|o_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 hjskhan/llama-3-math-finetuned-100.

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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