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Llama 3.1 OpenScholar 8B by OpenScholar

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Llama 3.1 OpenScholar 8B is an open-source language model by OpenScholar. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.28.

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

LLME Score: 0.28163
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)
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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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Rank the Llama 3.1 OpenScholar 8B 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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