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Meta Llama 3 8B Instruct GPTQ Int8 by study-hjt

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Model Card on HF 🤗: https://huggingface.co/study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int8 

Meta Llama 3 8B Instruct GPTQ Int8 Benchmarks

LLME Score: 0.16457
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Meta Llama 3 8B Instruct GPTQ Int8 Parameters and Internals

Model Type 
text generation, large language model
Use Cases 
Areas:
commercial use, research, assistant-like chat
Applications:
natural language generation tasks
Primary Use Cases:
dialogue models, instruction tuned models
Limitations:
English language only, no use outside acceptable use policy
Considerations:
Developers may fine-tune for languages beyond English compliant with license terms
Additional Notes 
Model optimized for dialogue use cases with community feedback
Supported Languages 
English (high)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Training Time:
7.7M GPU hours
Hardware Used:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
internal evaluations, red teaming, adversarial evaluations
Findings:
improved fine-tuning to limit false refusals
Risk Categories:
misuse, CBRNE threats, cybersecurity dangers
Ethical Considerations:
Responsible AI development with community feedback
Responsible Ai Considerations 
Fairness:
Designed to serve a wide range of users with no normativity
Transparency:
Open approach to community feedback and development
Accountability:
Developers responsible for deployment use-case safety
Mitigation Strategies:
Llama Guard, Purple Llama
Input Output 
Input Format:
Text input
Accepted Modalities:
text
Output Format:
Text generation
Release Notes 
Version:
Llama 3
Date:
April 18, 2024
Notes:
Release of Llama 3 models in sizes 8B and 70B with instruction tuning
LLM NameMeta Llama 3 8B Instruct GPTQ Int8
Repository 🤗https://huggingface.co/study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int8 
Base Model(s)  Meta Llama 3 8B Instruct FP8   neuralmagic/Meta-Llama-3-8B-Instruct-FP8
Model Size8b
Required VRAM9.2 GB
Updated2025-06-09
Maintainerstudy-hjt
Model Typellama
Instruction-BasedYes
Model Files  9.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16
Meta Llama 3 8B Instruct GPTQ Int8 (study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int8)

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Note: green Score (e.g. "73.2") means that the model is better than study-hjt/Meta-Llama-3-8B-Instruct-GPTQ-Int8.

Rank the Meta Llama 3 8B Instruct GPTQ Int8 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 v20241124
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