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Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3 by RyanYr

 »  All LLMs  »  RyanYr  »  Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3   URL Share it on

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  Autotrain compatible Base model:finetune:ryanyr/sel... Base model:ryanyr/self-correct...   Conversational   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl
Model Card on HF 🤗: https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.5-0.75_bon_iter3 

Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3 Benchmarks

LLME Score: 0.22071
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3 (RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.5-0.75_bon_iter3)

Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is a fine-tuned version of a previous Llama model. It uses the TRL framework for training.
LLM NameSelf Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3
Repository 🤗https://huggingface.co/RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.5-0.75_bon_iter3 
Model Nameself-correct_Llama-3.2-3B-Instruct_MATH_0.5-0.75_bon_iter3
Base Model(s)  RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.25-0.5_bon_iter2   RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.25-0.5_bon_iter2
Model Size3b
Required VRAM7.2 GB
Updated2024-11-15
MaintainerRyanYr
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   2.2 GB: 2-of-2   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size128257
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RyanYr/self-correct_Llama-3.2-3B-Instruct_MATH_0.5-0.75_bon_iter3.

Rank the Self Correct Llama 3.2 3B Instruct MATH 0.5 0.75 Bon Iter3 Capabilities

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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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Release v20241227
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