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Llama 3.3 70B Instruct 4bit by mlx-community

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Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.3-70B-Instruct-4bit 

Llama 3.3 70B Instruct 4bit Benchmarks

LLME Score: 0.44163
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 70B Instruct 4bit (mlx-community/Llama-3.3-70B-Instruct-4bit)

Llama 3.3 70B Instruct 4bit Parameters and Internals

LLM NameLlama 3.3 70B Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Llama-3.3-70B-Instruct-4bit 
Base Model(s)  meta-llama/Llama-3.3-70B-Instruct   meta-llama/Llama-3.3-70B-Instruct
Model Size70b
Required VRAM39.7 GB
Updated2024-12-22
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.3 GB: 1-of-8   5.3 GB: 2-of-8   5.3 GB: 3-of-8   5.3 GB: 4-of-8   5.3 GB: 5-of-8   5.3 GB: 6-of-8   5.3 GB: 7-of-8   2.6 GB: 8-of-8
Supported Languagesen fr it pt hi es th de
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.47.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.3 70B Instruct 4bit Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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