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

Llama 3.2 1B Instruct by meta-llama

 »  All LLMs  »  meta-llama  »  Llama 3.2 1B Instruct   URL Share it on

  5464491   

Llama 3.2 1B Instruct is an open-source language model by meta-llama. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.41.

  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: 7.02
LLME Score: 0.40531
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)
🌟 Advertise your project 🚀

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
Updated2025-10-16
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
...2 1B Instruct Unsloth Bnb 4bit41019521 GB
Llama 3.2 1B Instruct GGUF55813290 GB
Llama 3.2 1B Instruct Bnb 4bit22306861 GB
Llama Deepsync 1B3222 GB
...truct Gptqmodel 4bit Vortex V121291 GB
Orca Mini V9 1 1B Instruct3772 GB
Llama SmolTalk 3.2 1B Instruct312542 GB
Regex AI Llama 3.2 1B18130 GB
OrcaAgent Llama3.2 1B252 GB
...ma 3.2 1B Instruct XMADai 4bit541 GB

Best Alternatives to Llama 3.2 1B Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB6830
Llama 3.2 1B Instruct Bf16128K / 2.5 GB9245
Llama 3.2 1B Instruct128K / 2.5 GB19821791
Llama 3.2 1B Instruct128K / 2.5 GB180
Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
...enchmaxx Llama 3.2 1B Instruct128K / 0 GB134
...p Llama 3.2 1B Instruct Datav2128K / 16.1 GB260
BunderMaxx 1010128K / 2.5 GB141
Llama 3.2 1b OrcaSun V1128K / 3 GB110
... 6 1B Instruct Abliterated LPL128K / 2.5 GB50

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  

What open-source LLMs or SLMs are you in search of? 52758 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.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer