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Meta Llama 3 8B Hf EXL2 8bpw by Kotokin

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Model Card on HF 🤗: https://huggingface.co/Kotokin/Meta-Llama-3-8B-hf-exl2-8bpw 

Meta Llama 3 8B Hf EXL2 8bpw Benchmarks

LLME Score: 0.1506
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 Hf EXL2 8bpw (Kotokin/Meta-Llama-3-8B-hf-exl2-8bpw)
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Meta Llama 3 8B Hf EXL2 8bpw Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Instruction tuned models for assistant-like chat
Primary Use Cases:
Natural language generation, Multilingual dialogue interactions
Limitations:
Out-of-the-box use only in English, Potential inaccurate or biased responses
Considerations:
Developers should fine-tune based on specific needs.
Additional Notes 
100% carbon emissions offset by Meta’s sustainability program.
Supported Languages 
en (high)
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:
H100-80GB GPU with a cumulative 7.7M GPU hours
Model Architecture:
Auto-regressive transformer architecture
Safety Evaluation 
Methodologies:
Red teaming exercises, Adversarial evaluations
Risk Categories:
CBRNE, Cyber Security, Child Safety
Ethical Considerations:
Leverages best practices for safety and responsible deployment.
Responsible Ai Considerations 
Fairness:
Inclusive and open approach, aiming to serve diverse user needs and perspectives.
Accountability:
Developers responsible for end-user safety evaluations.
Mitigation Strategies:
Tools like Meta Llama Guard 2 and Code Shield for layering safety measures.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Performance Tips:
Fine-tune with language-specific data where appropriate.
Release Notes 
Version:
Meta Llama 3 (8B, 70B)
Date:
April 18, 2024
Notes:
Initial release of pre-trained and instruction tuned variants.
LLM NameMeta Llama 3 8B Hf EXL2 8bpw
Repository 🤗https://huggingface.co/Kotokin/Meta-Llama-3-8B-hf-exl2-8bpw 
Model Size8b
Required VRAM8.5 GB
Updated2024-12-03
MaintainerKotokin
Model Typellama
Model Files  8.5 GB
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Kotokin/Meta-Llama-3-8B-hf-exl2-8bpw.

Rank the Meta Llama 3 8B Hf EXL2 8bpw 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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Release v20241124
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