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Meta Llama Llama 3.2 1B Instruct FP16 by context-labs

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Meta Llama Llama 3.2 1B Instruct FP16 is an open-source language model by context-labs. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  Arxiv:2204.05149   Arxiv:2405.16406   Conversational   De   En   Endpoints compatible   Es   Facebook   Fp16   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Pt   Pytorch   Quantized   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/context-labs/meta-llama-Llama-3.2-1B-Instruct-FP16 

Meta Llama Llama 3.2 1B Instruct FP16 Benchmarks

LLME Score: 0.17862
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama Llama 3.2 1B Instruct FP16 (context-labs/meta-llama-Llama-3.2-1B-Instruct-FP16)
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Meta Llama Llama 3.2 1B Instruct FP16 Parameters and Internals

LLM NameMeta Llama Llama 3.2 1B Instruct FP16
Repository 🤗https://huggingface.co/context-labs/meta-llama-Llama-3.2-1B-Instruct-FP16 
Model Size1b
Required VRAM2.5 GB
Updated2026-04-21
Maintainercontext-labs
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen de fr it pt hi es th
Quantization Typefp16
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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Note: green Score (e.g. "73.2") means that the model is better than context-labs/meta-llama-Llama-3.2-1B-Instruct-FP16.

Rank the Meta Llama Llama 3.2 1B Instruct FP16 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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