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Meta Llama 3 8B Instruct GPTQ by SalmanFaroz

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Model Card on HF 🤗: https://huggingface.co/SalmanFaroz/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: 0.21683
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 (SalmanFaroz/Meta-Llama-3-8B-Instruct-GPTQ)

Meta Llama 3 8B Instruct GPTQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat
Primary Use Cases:
instruction tuned models for chat
Limitations:
Use in languages other than English, Complies with Acceptable Use Policy
Additional Notes 
Static model trained on an offline dataset with plans for future updates.
Supported Languages 
English (primary)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
supervised fine-tuning and reinforcement learning with human feedback
Context Length:
8000
Model Architecture:
auto-regressive language model with an optimized transformer architecture
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
LLM NameMeta Llama 3 8B Instruct GPTQ
Repository 🤗https://huggingface.co/SalmanFaroz/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 VRAM5.8 GB
Updated2024-12-23
MaintainerSalmanFaroz
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.1
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 SalmanFaroz/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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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