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Llama 3.1 8B GRPO Instruct by ymcki

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Code   Conversational Dataset:cognitivecomputations/...   Dataset:openai/gsm8k   Endpoints compatible   Instruct   Llama   Multilingual   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ymcki/Llama-3.1-8B-GRPO-Instruct 

Llama 3.1 8B GRPO Instruct Benchmarks

MMLU Pro: 30.43
GPQA: 5.93
MUSR: 7.61
BBH: 30.35
IFEval: 74.45 vs 88 (so35)-15.4%
MATH Lvl 5: 20.24
LLME Score: 0.33941
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B GRPO Instruct (ymcki/Llama-3.1-8B-GRPO-Instruct)

Llama 3.1 8B GRPO Instruct Parameters and Internals

LLM NameLlama 3.1 8B GRPO Instruct
Repository 🤗https://huggingface.co/ymcki/Llama-3.1-8B-GRPO-Instruct 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-03-21
Maintainerymcki
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.48.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ymcki/Llama-3.1-8B-GRPO-Instruct.

Rank the Llama 3.1 8B GRPO Instruct 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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