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Llama3 8B Sentiment May 3 2024 by seandearnaley

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  4bit Base model:quantized:unsloth/l... Base model:unsloth/llama-3-8b-...   Conversational   En   Endpoints compatible   Gguf   Instruct   Llama   Quantized   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Llama3 8B Sentiment May 3 2024 Benchmarks

LLME Score: 0.22054
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama3 8B Sentiment May 3 2024 Parameters and Internals

Model Type 
text-generation-inference, transformers, unsloth, llama, trl, sft
Additional Notes 
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
LLM NameLlama3 8B Sentiment May 3 2024
Repository 🤗https://huggingface.co/seandearnaley/llama3-8b-sentiment-may-3-2024 
Base Model(s)  Llama 3 8B Instruct Bnb 4bit   unsloth/llama-3-8b-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
Maintainerseandearnaley
Model Typellama
Instruction-BasedYes
Model Files  16.1 GB   4.9 GB   5.7 GB   8.5 GB   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
GGUF QuantizationYes
Quantization Type4bit|gguf
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Llama3 8B Sentiment May 3 2024 (seandearnaley/llama3-8b-sentiment-may-3-2024)

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Note: green Score (e.g. "73.2") means that the model is better than seandearnaley/llama3-8b-sentiment-may-3-2024.

Rank the Llama3 8B Sentiment May 3 2024 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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