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Llama 3 8B Sydney by FPHam

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Llama3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/FPHam/Llama-3-8B-Sydney 

Llama 3 8B Sydney Benchmarks

LLME Score: 0.19348
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Sydney (FPHam/Llama-3-8B-Sydney)

Llama 3 8B Sydney Parameters and Internals

Model Type 
Positive Persona Model, text generation
Additional Notes 
Sydney is a naive-yet-smart Positive Persona Model (PPM) fine-tuned from the reddit transcripts of Microsoft's Bing 'Sydney'.
Training Details 
Data Sources:
reddit transcripts
Methodology:
finetuning from Llama-3-8b using ALPACA template
Input Output 
Input Format:
ALPACA template
Accepted Modalities:
text
Output Format:
text
LLM NameLlama 3 8B Sydney
Repository 🤗https://huggingface.co/FPHam/Llama-3-8B-Sydney 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerFPHam
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
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than FPHam/Llama-3-8B-Sydney.

Rank the Llama 3 8B Sydney Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241227
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