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Meta Llama 3 8B Instruct GPTQ by TechxGenus

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

Meta Llama 3 8B Instruct GPTQ Benchmarks

ARC: 59.64 vs 96.7 (so35)-38.3%
HellaSwag: 78.84 vs 95.3 (gpt4)-17.3%
MMLU: 65.06 vs 88.3 (so35)-26.3%
TruthfulQA: 50.17 vs 59 (gpt4)-15%
WinoGrande: 74.98 vs 87.5 (gpt4)-14.3%
GSM8K: 57.32 vs 96.4 (so35)-40.5%
LLME Score: 0.22683
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct GPTQ (TechxGenus/Meta-Llama-3-8B-Instruct-GPTQ)

Meta Llama 3 8B Instruct GPTQ Parameters and Internals

Model Type 
text generation, instruction tuned
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
English-only tasks
Limitations:
out-of-scope for compliance violations, use in languages other than English with limitations
Additional Notes 
Llama 3 addresses users across different backgrounds without unnecessary judgment or normativity.
Supported Languages 
English (intended for commercial and research use)
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
Hardware Used:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
misinformation, bias
Ethical Considerations:
Developers should perform safety testing and tuning tailored to their specific applications.
Responsible Ai Considerations 
Fairness:
openness, inclusivity and helpfulness
Transparency:
Open approach for better and safer products
Accountability:
Meta
Mitigation Strategies:
Llama Guard and Code Shield safeguards
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Release Notes 
Version:
Meta Llama 3
Date:
April 18, 2024
Notes:
The tuned versions use SFT and RLHF to align with human preferences for helpfulness and safety.
LLM NameMeta Llama 3 8B Instruct GPTQ
Repository 🤗https://huggingface.co/TechxGenus/Meta-Llama-3-8B-Instruct-GPTQ 
Base Model(s)  ...eta Llama 3 8B Instruct FP8 KV   neuralmagic/Meta-Llama-3-8B-Instruct-FP8-KV
Model Size8b
Required VRAM5.7 GB
Updated2024-12-23
MaintainerTechxGenus
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
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 TechxGenus/Meta-Llama-3-8B-Instruct-GPTQ.

Rank the Meta Llama 3 8B Instruct GPTQ 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 v20241217
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