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Llama 3.1 OpenScholar 8B by OpenScholar

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Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   En   Llama   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/OpenScholar/Llama-3.1_OpenScholar-8B 

Llama 3.1 OpenScholar 8B Benchmarks

MMLU Pro: 30.09
GPQA: 4.25
MUSR: 11.84
BBH: 32.4
IFEval: 60.64 vs 88 (so35)-31.1%
MATH Lvl 5: 16.54
LLME Score: 0.36574
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 OpenScholar 8B (OpenScholar/Llama-3.1_OpenScholar-8B)

Llama 3.1 OpenScholar 8B Parameters and Internals

Model Type 
Transformer style autoregressive language model
Supported Languages 
en (NLP)
Training Details 
Data Sources:
os-data, peS2o v2, Tulu3, SciRIFF
Model Architecture:
Transformer style autoregressive
LLM NameLlama 3.1 OpenScholar 8B
Repository 🤗https://huggingface.co/OpenScholar/Llama-3.1_OpenScholar-8B 
Base Model(s)  meta-llama/Llama-3.1-8B   meta-llama/Llama-3.1-8B
Model Size8b
Required VRAM16.1 GB
Updated2025-01-28
MaintainerOpenScholar
Model Typellama
Model Files  16.1 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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