Llama 3.2 3B by tanliboy

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Model Card on HF ๐Ÿค—: https://huggingface.co/tanliboy/llama-3.2-3b 

Llama 3.2 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 3B (tanliboy/llama-3.2-3b)

Llama 3.2 3B Parameters and Internals

Model Type 
text generation, multilingual
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat and agentic applications, Knowledge retrieval and summarization, Writing assistants, Query and prompt rewriting
Primary Use Cases:
Natural language generation tasks
Limitations:
Use that violates applicable laws or regulations, Prohibited by the Acceptable Use Policy
Considerations:
Developers must ensure compliance with laws and complete deployments safely.
Additional Notes 
Intended for use in constrained environments; involves elements of responsible AI development.
Supported Languages 
English (supported), German (supported), French (supported), Italian (supported), Portuguese (supported), Hindi (supported), Spanish (supported), Thai (supported)
Training Details 
Data Sources:
publicly available online data
Data Volume:
9 trillion tokens
Methodology:
Using logits from the Llama 3.1 8B and 70B models in pretraining, knowledge distillation, Supervised Fine-Tuning, Rejection Sampling, Direct Preference Optimization.
Context Length:
128000
Hardware Used:
Meta's custom built GPU cluster, H100-80GB
Model Architecture:
auto-regressive language model using optimized transformer architecture
Safety Evaluation 
Methodologies:
Safety as a System, Red Teaming, CBRNE risk assessment, Child Safety risk assessments, Cyber Attacks risk assessment
Risk Categories:
CBRNE, Child Safety, Cyber Attacks
Responsible Ai Considerations 
Fairness:
Inclusive development, acknowledging diverse user backgrounds.
Transparency:
Open sourced and open to community contributions.
Mitigation Strategies:
Implemented safety mitigations and tones to address safety and ethical concerns.
Input Output 
Input Format:
Text
Accepted Modalities:
text
Output Format:
Text and code
Release Notes 
Version:
3.2
Date:
2024-09-25
Notes:
Release of Llama 3.2 multilingual models.
LLM NameLlama 3.2 3B
Repository ๐Ÿค—https://huggingface.co/tanliboy/llama-3.2-3b 
Model Size3b
Required VRAM6.5 GB
Updated2024-12-22
Maintainertanliboy
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagesen de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.2
Context Length131072
Model Max Length131072
Transformers Version4.45.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than tanliboy/llama-3.2-3b.

Rank the Llama 3.2 3B 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 v20241217