Llama 2 100 by yashmathur0310

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  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded

Llama 2 100 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 2 100 (yashmathur0310/Llama-2-100)

Llama 2 100 Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Product Review Analysis
Applications:
Sentiment Analysis, Customer Feedback Automation
Primary Use Cases:
Analyzing and generating product reviews
Limitations:
Not suitable for real-time applications
Considerations:
Ensure reviews are pre-processed for better performance.
Supported Languages 
English (fluent)
Training Details 
Data Sources:
Product Reviews Dataset
Data Volume:
100 text reviews
Methodology:
Fine-tuning using supervised learning
Context Length:
512
Training Time:
5 hours
Hardware Used:
NVIDIA A100 GPU
Model Architecture:
Decoder Transformer
Responsible Ai Considerations 
Fairness:
Bias detection tools have been employed.
Transparency:
Training data is documented and available.
Accountability:
Developer organization is accountable.
Mitigation Strategies:
Bias mitigation techniques applied in training.
Input Output 
Input Format:
JSON with 'review_text' field
Accepted Modalities:
text
Output Format:
Generated Text in JSON format
Performance Tips:
Use batch processing for improved throughput.
Release Notes 
Version:
1.0
Date:
2023-09-30
Notes:
Initial release; model fine-tuned on 100 product reviews.
Version:
1.1
Date:
2023-10-15
Notes:
Improved sentiment accuracy and reduced generation latency.
LLM NameLlama 2 100
Repository ๐Ÿค—https://huggingface.co/yashmathur0310/Llama-2-100 
Model Size7b
Required VRAM13.5 GB
Updated2025-02-16
Maintaineryashmathur0310
Model Typellama
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than yashmathur0310/Llama-2-100.

Rank the Llama 2 100 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 v20241227