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Meta Llama 3 8B GPTQ by TechxGenus

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

Meta Llama 3 8B GPTQ Benchmarks

LLME Score: 0.15383
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 GPTQ (TechxGenus/Meta-Llama-3-8B-GPTQ)
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Meta Llama 3 8B GPTQ Parameters and Internals

Model Type 
Auto-regressive language model, Text Generation, Dialogue
Additional Notes 
English language model with potential for fine-tuning for other languages under license conditions.
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, H100-80GB GPUs
Model Architecture:
Optimized transformer architecture
Safety Evaluation 
Methodologies:
Red-teaming, Adversarial evaluations
Findings:
Llama 3 is significantly less likely to falsely refuse to answer prompts than Llama 2
Risk Categories:
Misinformation, Insecure coding
Ethical Considerations:
Iterative testing was done to assess safety related to CBRNE threats.
Responsible Ai Considerations 
Fairness:
Model is designed to be inclusive and helpful across a wide range of use cases.
Transparency:
Efforts are made to maintain transparency through open community contributions.
Accountability:
Meta encourages developers to be responsible for customizing safety for their use case.
Mitigation Strategies:
Meta Llama Guard 2 and Code Shield for safety.
Input Output 
Input Format:
Text
Accepted Modalities:
Text
Output Format:
Text, Code
Release Notes 
Version:
70B
Date:
December 2023
Notes:
Additional parameters and context length.
Version:
8B
Date:
March 2023
Notes:
Initial release with Grouped-Query Attention.
LLM NameMeta Llama 3 8B GPTQ
Repository 🤗https://huggingface.co/TechxGenus/Meta-Llama-3-8B-GPTQ 
Base Model(s)  Meta Llama 3 8B Fp8   FriendliAI/Meta-Llama-3-8B-fp8
Model Size8b
Required VRAM5.7 GB
Updated2025-11-07
MaintainerTechxGenus
Model Typellama
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-GPTQ.

Rank the Meta Llama 3 8B GPTQ 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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