Llama 3.2 3B Instruct 4bit by mlx-community

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  4-bit   4bit   Autotrain compatible Base model:meta-llama/llama-3.... Base model:quantized:meta-llam...   Conversational   De   En   Endpoints compatible   Es   Facebook   Fr   Hi   Instruct   It   Llama   Llama-3   Meta   Mlx   Pt   Pytorch   Quantized   Region:us   Safetensors   Th

Llama 3.2 3B Instruct 4bit Benchmarks

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 3B Instruct 4bit (mlx-community/Llama-3.2-3B-Instruct-4bit)

Llama 3.2 3B Instruct 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
Converted to MLX format
Supported Languages 
en (High), de (High), fr (High), it (High), pt (High), hi (High), es (High), th (High)
Input Output 
Input Format:
Text-based prompts
Accepted Modalities:
text
Output Format:
Text
LLM NameLlama 3.2 3B Instruct 4bit
Repository ๐Ÿค—https://huggingface.co/mlx-community/Llama-3.2-3B-Instruct-4bit 
Base Model(s)  meta-llama/Llama-3.2-3B-Instruct   meta-llama/Llama-3.2-3B-Instruct
Model Size3b
Required VRAM1.8 GB
Updated2025-02-05
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  1.8 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-3.2-3B-Instruct-4bit.

Rank the Llama 3.2 3B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227