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Llama3 8B Lima by OpenLeecher

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Model Card on HF 🤗: https://huggingface.co/OpenLeecher/llama3-8b-lima 

Llama3 8B Lima Benchmarks

MMLU Pro: 18.07
MUSR: 3.74
BBH: 19.57
IFEval: 43.71 vs 88 (so35)-50.3%
MATH Lvl 5: 5.06
LLME Score: 0.22273
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Lima (OpenLeecher/llama3-8b-lima)
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Llama3 8B Lima Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Natural language generation tasks
Primary Use Cases:
Dialogue, Instruction tuning
Limitations:
Must not violate the Acceptable Use Policy or applicable laws, Out-of-scope for languages other than English
Considerations:
Developers must comply with the Acceptable Use Policy and Community License.
Additional Notes 
Open-sourced Purple Llama tools for community use and safety enhancement.
Supported Languages 
English (Fully supported)
Training Details 
Data Sources:
A new mix of publicly available online data.
Data Volume:
15 trillion+ tokens
Methodology:
Supervised Fine-Tuning (SFT), Reinforcement Learning with Human Feedback (RLHF)
Context Length:
8000
Hardware Used:
H100-80GB GPUs
Model Architecture:
Auto-regressive language model; uses Grouped-Query Attention (GQA) for improved inference scalability
Safety Evaluation 
Methodologies:
Red teaming, Adversarial evaluations
Findings:
Model significantly less likely to falsely refuse prompts
Risk Categories:
Misinformation, Cybersecurity, Child Safety
Ethical Considerations:
Responsible Use Guide updated for model and system-level safety.
Responsible Ai Considerations 
Fairness:
Designed to serve a diverse range of applications and respect free thought and expression.
Transparency:
Provided through open consortiums like AI Alliance and MLCommons.
Accountability:
Meta's sustainability program offsets all CO2 emissions.
Mitigation Strategies:
Integration with Purple Llama for additional safety measures.
Input Output 
Input Format:
Text only
Accepted Modalities:
Text
Output Format:
Text and code only
LLM NameLlama3 8B Lima
Repository 🤗https://huggingface.co/OpenLeecher/llama3-8b-lima 
Model Size8b
Required VRAM16.1 GB
Updated2024-11-21
MaintainerOpenLeecher
Model Typellama
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 Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenLeecher/llama3-8b-lima.

Rank the Llama3 8B Lima 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 v20241124
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