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Llama 3.2 1B Instruct 4bit by mlx-community

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  4-bit   4bit   Autotrain compatible Base model:mlx-community/llama... Base model:quantized:mlx-commu...   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Mlx   Pt   Pytorch   Quantized   Region:us   Safetensors   Th
Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-4bit 

Llama 3.2 1B Instruct 4bit Benchmarks

LLME Score: 0.34183
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 4bit (mlx-community/Llama-3.2-1B-Instruct-4bit)

Llama 3.2 1B Instruct 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Converted from meta-llama/Llama-3.2-1B-Instruct using mlx-lm version 0.18.2.
Supported Languages 
en (fluent), de (fluent), fr (fluent), it (fluent), pt (fluent), hi (fluent), es (fluent), th (fluent)
LLM NameLlama 3.2 1B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-4bit 
Base Model(s)  mlx-community/Llama-3.2-1B-Instruct-bf16   mlx-community/Llama-3.2-1B-Instruct-bf16
Model Size1b
Required VRAM0.7 GB
Updated2025-03-12
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  0.7 GB
Supported Languagesen de fr it pt hi es th
Quantization Type4bit
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 mlx-community/Llama-3.2-1B-Instruct-4bit.

Rank the Llama 3.2 1B Instruct 4bit 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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Release v20241227
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