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Llama 3.2 1B Instruct MLXTuned by mlx-community

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

Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Mlx   Pt   Pytorch   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-MLXTuned 

Llama 3.2 1B Instruct MLXTuned Benchmarks

LLME Score: 0.18416
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 MLXTuned (mlx-community/Llama-3.2-1B-Instruct-MLXTuned)
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Llama 3.2 1B Instruct MLXTuned Parameters and Internals

LLM NameLlama 3.2 1B Instruct MLXTuned
Repository 🤗https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-MLXTuned 
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM2.5 GB
Updated2026-05-14
Maintainermlx-community
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

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Llama 3.2 1B Instruct128K / 2.5 GB63368191393
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Llama 3.2 1B Instruct Bf16128K / 2.5 GB11585
...Instruct Only Mask W Item Mesh128K / 3 GB3850
Llama 3.2 1B Instruct128K / 2.5 GB70
Shield Llama 3.2 1B Full FT CE128K / 2.5 GB7950
Llama3.2 1B FantasySciFi128K / 2.5 GB3040
Llama 3.2 1B Instruct128K / 2.5 GB15769192
Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
Llama Nexora Vector V0.1128K / 2.5 GB361
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-1B-Instruct-MLXTuned.

Rank the Llama 3.2 1B Instruct MLXTuned 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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