Meta Llama 3 8B Instruct 64K AWQ by heyholetsgo

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Meta Llama 3 8B Instruct 64K AWQ Benchmarks

Meta Llama 3 8B Instruct 64K AWQ (heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq)

Meta Llama 3 8B Instruct 64K AWQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Applications:
natural language generation tasks
Primary Use Cases:
assistant-like chat, custom tuning
Limitations:
Use only in English, Must comply with License and Acceptable Use Policy
Considerations:
Developers may fine-tune for languages beyond English if compliant with License and Acceptable Use Policy.
Supported Languages 
English (Proficient)
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
Hardware Used:
Meta's Research SuperCluster, third-party cloud compute
Model Architecture:
optimized transformer architecture
Responsible Ai Considerations 
Mitigation Strategies:
Safety mitigations techniques and responsible LLM-application deployment guidelines.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text, code
Release Notes 
Version:
3
Date:
2024-04-18
Notes:
Llama 3 released with improvements in helpfulness and safety.
LLM NameMeta Llama 3 8B Instruct 64K AWQ
Repository ๐Ÿค—https://huggingface.co/heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq 
Base Model(s)  ...a Llama 3 8B Instruct 64K PoSE   Azma-AI/Meta-Llama-3-8B-Instruct-64k-PoSE
Model Size8b
Required VRAM5.8 GB
Updated2024-12-21
Maintainerheyholetsgo
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 Length65536
Model Max Length65536
Transformers Version4.37.2
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 heyholetsgo/Meta-Llama-3-8B-Instruct-64k-awq.

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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 v20241217