Meta Llama 3 8B Instruct AWQ by bartowski

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Meta Llama 3 8B Instruct AWQ Benchmarks

Meta Llama 3 8B Instruct AWQ (bartowski/Meta-Llama-3-8B-Instruct-AWQ)

Meta Llama 3 8B Instruct AWQ Parameters and Internals

Model Type 
text generation
Additional Notes 
The model has been quantized using AutoAWQ to 4-bit weights.
Input Output 
Input Format:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
LLM NameMeta Llama 3 8B Instruct AWQ
Repository ๐Ÿค—https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-AWQ 
Base Model(s)  Meta Llama 3 13B Instruct   andrijdavid/Meta-Llama-3-13B-Instruct
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
Maintainerbartowski
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.39.3
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 bartowski/Meta-Llama-3-8B-Instruct-AWQ.

Rank the Meta Llama 3 8B Instruct AWQ 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