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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/OpenSciLM/Llama-3.1_OpenScholar-8B 

Llama 3.1 OpenScholar 8B Benchmarks

LLME Score: 0.31027
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama 3.1 OpenScholar 8B Parameters and Internals

LLM NameLlama 3.1 OpenScholar 8B
Repository 🤗https://huggingface.co/OpenSciLM/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
Updated2025-06-09
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
Llama 3.1 OpenScholar 8B (OpenSciLM/Llama-3.1_OpenScholar-8B)

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

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