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Llama 3.2 3B by alpindale

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Llama 3.2 3B is an open-source language model by alpindale. Features: 3b LLM, VRAM: 6.5GB, Context: 128K, License: llama3.2, LLM Explorer Score: 0.16.

  Arxiv:2204.05149   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/alpindale/Llama-3.2-3B 

Llama 3.2 3B Benchmarks

LLME Score: 0.15703
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 (alpindale/Llama-3.2-3B)
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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 🤗https://huggingface.co/alpindale/Llama-3.2-3B 
Model Size3b
Required VRAM6.5 GB
Updated2026-04-10
Maintaineralpindale
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
Vocabulary Size128256
Torch Data Typebfloat16

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Llama 3.2 3B RP Toxic Fuse128K / 6.4 GB42
Note: green Score (e.g. "73.2") means that the model is better than alpindale/Llama-3.2-3B.

Rank the Llama 3.2 3B 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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