Scarlett Llama 3 8B V1.0 by ajibawa-2023

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Scarlett Llama 3 8B V1.0 Benchmarks

Scarlett Llama 3 8B V1.0 (ajibawa-2023/Scarlett-Llama-3-8B-v1.0)

Scarlett Llama 3 8B V1.0 Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is capable of generating long and deep human-like conversations and addresses a previous issue with repetition.
Training Details 
Data Volume:
more than 10000 set of conversations
Methodology:
Finetuning
Training Time:
more than 2 hours
Hardware Used:
4 x A100 80GB
Model Architecture:
Llama-3-8B by Meta
Input Output 
Input Format:
ChatML prompt format
LLM NameScarlett Llama 3 8B V1.0
Repository ๐Ÿค—https://huggingface.co/ajibawa-2023/Scarlett-Llama-3-8B-v1.0 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainerajibawa-2023
Model Typellama
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
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ajibawa-2023/Scarlett-Llama-3-8B-v1.0.

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227