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 Parameters and Internals

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
Updated2024-10-04
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
Llama 3.2 3B Instruct 4bit (mlx-community/Llama-3.2-3B-Instruct-4bit)

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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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803