Llama 3 Orca 2.0 8B by Locutusque

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 Orca 2.0 8B Benchmarks

Llama 3 Orca 2.0 8B Parameters and Internals

Model Type
language model
Use Cases
Primary Use Cases:
conversational AI, writing, coding
Additional NotesMore data source information to come.
Training Details
Data Sources:
SlimOrca and other datasets
Methodology:fine-tuning
Model Architecture:Built with Meta Llama 3
Input Output
Input Format:ChatML prompt template
LLM NameLlama 3 Orca 2.0 8B
Repository ๐Ÿค—https://huggingface.co/Locutusque/Llama-3-Orca-2.0-8B 
Model Size8b
Required VRAM16.1 GB
Updated2024-11-09
MaintainerLocutusque
Model Typellama
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Orca 2.0 8B (Locutusque/Llama-3-Orca-2.0-8B)

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110