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Llama 3.2 1B Instruct by meta-llama

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  Arxiv:2204.05149   Arxiv:2405.16406   Autotrain compatible   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct 

Llama 3.2 1B Instruct Benchmarks

MMLU Pro: 7.58
GPQA: 3.36
MUSR: 2.97
BBH: 8.74
IFEval: 56.98 vs 88 (so35)-35.3%
MATH Lvl 5: 3.25
LLME Score: 0.45838
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 1B Instruct (meta-llama/Llama-3.2-1B-Instruct)

Llama 3.2 1B Instruct Parameters and Internals

Model Type 
text-generation, multilingual
Use Cases 
Areas:
Commercial, Research
Applications:
Assistant-like chat, Knowledge retrieval, Summarization, Mobile AI-powered writing assistants, Query and prompt rewriting, Natural language generation tasks
Primary Use Cases:
Multilingual dialogue use cases
Limitations:
Use in any manner that violates applicable laws or regulations
Additional Notes 
Llama 3.2 models can be fine-tuned for additional languages beyond the primary 8 supported languages.
Supported Languages 
en (English), de (German), fr (French), it (Italian), pt (Portuguese), hi (Hindi), es (Spanish), th (Thai)
Training Details 
Data Sources:
A new mix of publicly available online data.
Data Volume:
Up to 9T tokens
Methodology:
Supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
128000
Training Time:
830k GPU hours
Hardware Used:
H100-80GB (TDP of 700W) GPUs
Model Architecture:
Auto-regressive with optimized transformer architecture
Input Output 
Input Format:
Multilingual Text
Accepted Modalities:
text
Output Format:
Multilingual Text and code
Release Notes 
Version:
3.2
Date:
September 25, 2024
Notes:
Introduced new multilingual capabilities and instruction tuning for agentic and summarization tasks.
LLM NameLlama 3.2 1B Instruct
Repository 🤗https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct 
Model Size1b
Required VRAM2.5 GB
Updated2025-02-09
Maintainermeta-llama
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
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

Quantized Models of the Llama 3.2 1B Instruct

Model
Likes
Downloads
VRAM
Llama 3.2 1B Instruct 4bit1235051090 GB
Llama 3.2 1B Instruct Bnb 4bit13828291 GB
Llama Deepsync 1B93232 GB
Orca Mini V9 1 1B Instruct31502 GB
...truct Gptqmodel 4bit Vortex V121391 GB
Llama SmolTalk 3.2 1B Instruct83842 GB
OrcaAgent Llama3.2 1B2922 GB
Regex AI Llama 3.2 1B01190 GB
...ma 3.2 1B Instruct XMADai 4bit581 GB

Best Alternatives to Llama 3.2 1B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
MiniThinky V2 1B Llama 3.2128K / 4.9 GB1526338
Llama 3.2 1B Instruct128K / 2.5 GB13620062
Orca Mini V9 6 1B Instruct128K / 2.5 GB7244
Bellatrix Tiny 1B V2128K / 2.5 GB2388
Llama Express.1 Math128K / 2.5 GB1107
Llama3.2 1B THREADRIPPER128K / 2.5 GB370
...Templatizer Full End To End S1128K / 2.5 GB6870
Orca Mini V9 7 1B Instruct128K / 2.5 GB1834
Llama 3.2 SUN HDIC 1B Instruct128K / 3 GB2840
... Math 1B R16 0to512tokens Test128K / 2.5 GB340

Rank the Llama 3.2 1B 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  

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Release v20241227
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