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Meta Llama 3 8B Instruct Hf by maldv

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Model Card on HF 🤗: https://huggingface.co/maldv/Meta-Llama-3-8B-Instruct-hf 

Meta Llama 3 8B Instruct Hf Benchmarks

LLME Score: 0.19121
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 Hf (maldv/Meta-Llama-3-8B-Instruct-hf)

Meta Llama 3 8B Instruct Hf Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
commercial, research
Applications:
Natural language generation tasks, Assistant-like chat
Primary Use Cases:
Instruction tuned models for dialogue
Limitations:
Use only in English., Avoid use in ways violating applicable laws.
Considerations:
Developers can fine-tune for languages beyond English with compliance considerations.
Additional Notes 
Future releases aim to integrate community feedback for improved safety and functionality.
Supported Languages 
English (Full)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15 trillion tokens
Methodology:
Supervised fine-tuning, Reinforcement learning with human feedback (RLHF)
Context Length:
8000
Hardware Used:
Meta's Research SuperCluster, Third-party cloud compute
Model Architecture:
Auto-regressive language model using an optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Risk Categories:
misinformation, bias, cybersecurity
Ethical Considerations:
Ethical issues related to openness, inclusivity, and helpfulness.
Responsible Ai Considerations 
Fairness:
Efforts to reduce false refusals and mitigate biases.
Transparency:
Open source collaboration and community engagement.
Accountability:
Developers and model users are encouraged to implement safety best practices.
Mitigation Strategies:
Resources such as Meta Llama Guard 2 and other safety tools provided.
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text and code
Release Notes 
Version:
Initial 8B and 70B
Date:
April 18, 2024
Notes:
Static model trained on offline datasets.
LLM NameMeta Llama 3 8B Instruct Hf
Repository 🤗https://huggingface.co/maldv/Meta-Llama-3-8B-Instruct-hf 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
Maintainermaldv
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
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 maldv/Meta-Llama-3-8B-Instruct-hf.

Rank the Meta Llama 3 8B Instruct Hf 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 v20241227
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