LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Llama 3.2 3B Instruct by alpindale

 »  All LLMs  »  alpindale  »  Llama 3.2 3B Instruct   URL Share it on

  1275   
  Arxiv:2204.05149   Autotrain compatible   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   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-Instruct 

Llama 3.2 3B Instruct Benchmarks

LLME Score: 0.19788
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 Instruct (alpindale/Llama-3.2-3B-Instruct)
🌟 Advertise your project 🚀

Llama 3.2 3B Instruct Parameters and Internals

Model Type 
auto-regressive language model, text generation
Use Cases 
Areas:
commercial, research
Applications:
multilingual dialogue, knowledge retrieval, summarization, mobile AI-powered writing assistants
Primary Use Cases:
instruction-tuned text for assistant-like chat, agentic applications
Limitations:
Prohibited use in violating laws or Acceptable Use Policy, Deployment in languages beyond official support
Considerations:
Developers should tailor safety for specific applications using provided guidelines and tests.
Additional Notes 
Special focus on safety in extreme scenarios like cyber attacks and Bioweapons.
Supported Languages 
English (officially supported), German (officially supported), French (officially supported), Italian (officially supported), Portuguese (officially supported), Hindi (officially supported), Spanish (officially supported), Thai (officially supported)
Training Details 
Data Sources:
Publicly available online data
Data Volume:
Up to 9 trillion tokens
Methodology:
Supervised fine-tuning, Reinforcement learning with human feedback, Knowledge distillation
Context Length:
128000
Training Time:
916k GPU hours
Hardware Used:
Meta's custom built GPU cluster
Model Architecture:
Optimized transformer architecture with Grouped-Query Attention
Safety Evaluation 
Methodologies:
Red-teaming, Safety fine-tuning, Adversarial evaluation datasets
Findings:
Implemented safety mitigations to reduce risks
Risk Categories:
Misinformation, Bias, Cyber Attacks, Child Safety, CBRNE Risks
Ethical Considerations:
Comprehensive safety evaluation conducted to mitigate potential risks.
Responsible Ai Considerations 
Fairness:
Access to diverse language support, promoting inclusivity.
Transparency:
Open community engagement for safety standardization.
Accountability:
Meta retains intellectual property; attribution rights and trademark adherence required.
Mitigation Strategies:
Guidelines for deploying AI with safety guardrails like Llama Guard, Prompt Guard, and Code Shield
Input Output 
Input Format:
Multilingual Text
Accepted Modalities:
text
Output Format:
Multilingual Text and code
Performance Tips:
Deploy with suggested safety guardrails for optimal performance.
Release Notes 
Version:
3.2
Date:
September 25, 2024
Notes:
Many improvements in safety and multilingual capabilities.
LLM NameLlama 3.2 3B Instruct
Repository 🤗https://huggingface.co/alpindale/Llama-3.2-3B-Instruct 
Model Size3b
Required VRAM6.5 GB
Updated2025-09-23
Maintaineralpindale
Model Typellama
Instruction-BasedYes
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

Best Alternatives to Llama 3.2 3B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Llama 3.2 3B Instruct128K / 6.5 GB16749181724
DeepSeek R1 Distill Llama 3B128K / 6.5 GB133116
Llama 3.2 3B Instruct128K / 6.5 GB42213275
Llama 3.2 3B RP Toxic Fuse128K / 6.4 GB42
Zeitgeist 3B V1128K / 6.5 GB1055
... 3.2 3B Math Instruct RE1 ORPO128K / 6.5 GB480
ReasoningCore 3B T1 1128K / 6.5 GB51
Llama 3.2 3B ToxicKod128K / 6.4 GB32
FuseChat Llama 3.2 3B Instruct128K / 6.5 GB417
Orca Mini V9 5 3B Instruct128K / 6.5 GB66
Note: green Score (e.g. "73.2") means that the model is better than alpindale/Llama-3.2-3B-Instruct.

Rank the Llama 3.2 3B Instruct 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  

What open-source LLMs or SLMs are you in search of? 51545 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
  Support LLM Explorer